Twitter_Analysis.ipynb

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  "metadata": {
    "colab": {
      "name": "CMPE 251 Twitter Analysis.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "language_info": {
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        "name": "ipython",
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      "name": "python",
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      "version": "3.8.10"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c__bQUOE9ky_"
      },
      "source": [
        "# STEP-1"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N-eqKubF-PWo",
        "outputId": "3dca14e5-0dd3-4652-ef0f-0f03078e85f8"
      },
      "source": [
        "!pip3 install tweepy"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: tweepy in /usr/local/lib/python3.7/dist-packages (3.10.0)\n",
            "Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.7/dist-packages (from tweepy) (1.15.0)\n",
            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from tweepy) (1.3.0)\n",
            "Requirement already satisfied: requests[socks]>=2.11.1 in /usr/local/lib/python3.7/dist-packages (from tweepy) (2.23.0)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->tweepy) (3.1.1)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests[socks]>=2.11.1->tweepy) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests[socks]>=2.11.1->tweepy) (2021.10.8)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests[socks]>=2.11.1->tweepy) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests[socks]>=2.11.1->tweepy) (1.24.3)\n",
            "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.7/dist-packages (from requests[socks]>=2.11.1->tweepy) (1.7.1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yg17pCX8-P6w"
      },
      "source": [
        "# STEP-2"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fX5HqJ8S9lXY"
      },
      "source": [
        "import tweepy\n",
        "# put your own keys by getting Twitter\n",
        "# visit https://developer.twitter.com/en/apps\n",
        "\n",
        "consumer_key=   \"*****\"\n",
        "consumer_secret=\"***\"\n",
        "\n",
        "acc_token=   \"**\"\n",
        "acc_secret=  \"***\"\n",
        "\n",
        "auth = tweepy.OAuthHandler(consumer_key, consumer_secret)\n",
        "auth.set_access_token(acc_token, acc_secret)\n",
        "api = tweepy.API(auth)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-KVu1ya3-SRx"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "izR-H2WA-UQI"
      },
      "source": [
        "# STEP (optional)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XGGUE6xhTH5d"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "import os \n",
        "os.chdir(\"/content/drive/MyDrive/Courses/cmpe 251\")\n",
        "# hint /content/drive/MyDrive/ + your path\n",
        "os.listdir()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E9rXDIGG9kOD"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ELLx4q0rTAWa"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5S4gndjETAWa"
      },
      "source": [
        "key=\"#blockchain\"\n",
        "df = pd.DataFrame()\n",
        "msgs = []\n",
        "msg =[]\n",
        "for tweet in tweepy.Cursor(api.search, q=key, lang='tr', rpp=100).items(2000):\n",
        "    msg = [tweet.text, tweet.source, tweet.source_url, tweet.retweet_count, tweet.favorite_count, tweet.geo,tweet.user.name,tweet.created_at,tweet.user.profile_image_url] \n",
        "    msg = tuple(msg)                    \n",
        "    msgs.append(msg)\n",
        "\n",
        "df = pd.DataFrame(msgs)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HkujZ1UVTAWb"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 32
        },
        "id": "iV-o-y_jTAWb",
        "outputId": "3dfb68bb-878f-4bd7-de54-b525e3b7ef8c"
      },
      "source": [
        "df.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
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              "Empty DataFrame\n",
              "Columns: []\n",
              "Index: []"
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          "execution_count": 9,
          "metadata": {},
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      ]
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    {
      "cell_type": "code",
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        },
        "id": "kMgU08BG-xNC",
        "outputId": "b70724fe-e682-4bd0-f481-d536952b5095"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2000, 9)"
            ]
          },
          "execution_count": 128,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "igNaratCTAWc",
        "outputId": "c0554e59-7b71-4a9c-a1fc-2a3c1ef629bc"
      },
      "source": [
        "print([e for e in dir(tweet) if not e.startswith(\"_\") ])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "['author', 'contributors', 'coordinates', 'created_at', 'destroy', 'entities', 'favorite', 'favorite_count', 'favorited', 'geo', 'id', 'id_str', 'in_reply_to_screen_name', 'in_reply_to_status_id', 'in_reply_to_status_id_str', 'in_reply_to_user_id', 'in_reply_to_user_id_str', 'is_quote_status', 'lang', 'metadata', 'parse', 'parse_list', 'place', 'retweet', 'retweet_count', 'retweeted', 'retweeted_status', 'retweets', 'source', 'source_url', 'text', 'truncated', 'user']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M3ZEpgwRiSn8"
      },
      "source": [
        "If you face difficulties in authorizing yourself, please start here"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mIy24Sn7TAWc",
        "outputId": "62e6a149-77ea-4af7-aa50-262443fe5885"
      },
      "source": [
        "import pandas as pd\n",
        "df2=pd.read_pickle(\"sq.pkl\")\n",
        "df2.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1000, 9)"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "cfcunVIjTAWd"
      },
      "source": [
        "df=df2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1A_I6p1-TAWd"
      },
      "source": [
        "df.columns=[\"text\", \"source\", \"source_url\", \"retweet_count\", \"favorite\", \"geo\",\"user\",\"created_at\",\"profile_image\"]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 753
        },
        "id": "3T87VxvUTAWe",
        "outputId": "fe45e70a-03b3-4256-c33d-1a2e5bc5c1bc"
      },
      "source": [
        "df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>source_url</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>favorite</th>\n",
              "      <th>geo</th>\n",
              "      <th>user</th>\n",
              "      <th>created_at</th>\n",
              "      <th>profile_image</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Can't be the only one 😅 Have you watched #Squi...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>GPblog.com</td>\n",
              "      <td>2021-11-05 09:21:52</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1133315715...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>216</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>PIN_Rose🍓</td>\n",
              "      <td>2021-11-05 09:16:45</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1456548942...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>RT @teenypribble: Whom in Astro do you think c...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>프리얄 🎟 🍄♡~♪ Billlie Debut MJ solo</td>\n",
              "      <td>2021-11-05 08:58:43</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1452176682...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>RT @teenypribble: Whom in Astro do you think c...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>PAV 🧛‍♀️ ll FLOWERLD 🎟</td>\n",
              "      <td>2021-11-05 08:57:44</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1452672997...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>RT @HTTech: Concerns regarding the #SquidGames...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Mayukh Tatai</td>\n",
              "      <td>2021-11-05 08:53:28</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1417888249...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>RT @nityisdreaming: silly thing im posting b4 ...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>16</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Shinomitsu Week 2021!</td>\n",
              "      <td>2021-11-03 01:26:47</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455361633...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>Bloodshore Movie Arrives Nov 3rd 🪓🎮🧨 \\nhttps:/...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>6</td>\n",
              "      <td>7</td>\n",
              "      <td>None</td>\n",
              "      <td>Andy Anson Actor</td>\n",
              "      <td>2021-11-03 01:26:18</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1454028285...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>I've just watched episode S01 | E09 of Squid G...</td>\n",
              "      <td>TV Time, TV show tracker</td>\n",
              "      <td>https://www.tvtime.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>كرِسس</td>\n",
              "      <td>2021-11-03 01:23:41</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1381423450...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>Clinical Psychologist, Roxanne Goff explains h...</td>\n",
              "      <td>Sprout Social</td>\n",
              "      <td>https://sproutsocial.com</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>None</td>\n",
              "      <td>Macquarie University</td>\n",
              "      <td>2021-11-03 01:23:01</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/5772486261...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>RT @TScailing: Silly World, an Indian-based ga...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Aryan Agarwal</td>\n",
              "      <td>2021-11-03 01:22:35</td>\n",
              "      <td>http://abs.twimg.com/sticky/default_profile_im...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  text  ...                                      profile_image\n",
              "0    Can't be the only one 😅 Have you watched #Squi...  ...  http://pbs.twimg.com/profile_images/1133315715...\n",
              "1    RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this...  ...  http://pbs.twimg.com/profile_images/1456548942...\n",
              "2    RT @teenypribble: Whom in Astro do you think c...  ...  http://pbs.twimg.com/profile_images/1452176682...\n",
              "3    RT @teenypribble: Whom in Astro do you think c...  ...  http://pbs.twimg.com/profile_images/1452672997...\n",
              "4    RT @HTTech: Concerns regarding the #SquidGames...  ...  http://pbs.twimg.com/profile_images/1417888249...\n",
              "..                                                 ...  ...                                                ...\n",
              "995  RT @nityisdreaming: silly thing im posting b4 ...  ...  http://pbs.twimg.com/profile_images/1455361633...\n",
              "996  Bloodshore Movie Arrives Nov 3rd 🪓🎮🧨 \\nhttps:/...  ...  http://pbs.twimg.com/profile_images/1454028285...\n",
              "997  I've just watched episode S01 | E09 of Squid G...  ...  http://pbs.twimg.com/profile_images/1381423450...\n",
              "998  Clinical Psychologist, Roxanne Goff explains h...  ...  http://pbs.twimg.com/profile_images/5772486261...\n",
              "999  RT @TScailing: Silly World, an Indian-based ga...  ...  http://abs.twimg.com/sticky/default_profile_im...\n",
              "\n",
              "[1000 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
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      "metadata": {
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          "height": 35
        },
        "id": "_5VDu1Kl_Y24",
        "outputId": "6f03a37a-400a-4d5a-9e4a-55ddcdc8a9a1"
      },
      "source": [
        "df.profile_image[100]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'http://pbs.twimg.com/profile_images/955273748390862849/6zQNW0kv_normal.jpg'"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "XtmsdbeQTAWe",
        "outputId": "975fc56f-1baf-47ea-8c2b-125f9fe31fd0"
      },
      "source": [
        "df[df.retweet_count== max(df.retweet_count)].iloc[0,].text"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'RT @genshashin: If Squid game was a Genshin event...\\n\\n...Also this took forever to edit omg cry cry\\nhttps://t.co/20jGOu3BJ9\\n\\n#GenshinImpact…'"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
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        },
        "id": "RzUw3bD2TAWe",
        "outputId": "885e33f6-c392-47c4-92f3-42e2c88af9ae"
      },
      "source": [
        "df.retweet_count.value_counts().hist(bins=20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff0f1cfa650>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "yAaF3a3ATAWf",
        "outputId": "1fc3e8e9-8429-4956-bce0-619e5c7d87f1"
      },
      "source": [
        "import numpy as np\n",
        "df.retweet_count.value_counts().map(lambda x: np.log(1+x)).hist(bins=20 )"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff0ea2b2fd0>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "LpZbQj0rTAWf",
        "outputId": "aa4f99fb-e4e7-4d90-850a-d1be1295e892"
      },
      "source": [
        "df.retweet_count.value_counts().plot(kind='box')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff0ea1f6b50>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NSFhUQDBdPSv",
        "outputId": "f49c006e-afe7-4d80-aea1-d3c0b04211ad"
      },
      "source": [
        "df.source"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0               Twitter Web App\n",
              "1               Twitter Web App\n",
              "2           Twitter for Android\n",
              "3           Twitter for Android\n",
              "4           Twitter for Android\n",
              "                 ...           \n",
              "995             Twitter Web App\n",
              "996          Twitter for iPhone\n",
              "997    TV Time, TV show tracker\n",
              "998               Sprout Social\n",
              "999         Twitter for Android\n",
              "Name: source, Length: 1000, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "FIP_tlC6TAWf",
        "outputId": "4c18ec46-ed46-4f29-d0a2-bc2a6bf4e4b7"
      },
      "source": [
        "df.source.value_counts().plot(kind='bar')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff0ea175750>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 399
        },
        "id": "LupJMzl8TAWf",
        "outputId": "ed8552e7-d372-47c8-ca2a-1ebaa18cd877"
      },
      "source": [
        "src=df.source.value_counts()\n",
        "src[src>2].plot(kind='bar')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff0e9fd01d0>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4BpYlfLTTAWg",
        "outputId": "aae68b23-b7e8-4bd7-de3a-8a9d042e7bde"
      },
      "source": [
        "df.favorite.mean(), df.favorite.median(), df.favorite.max(), df.favorite.min() "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1.122, 0.0, 178, 0)"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8hgfO78xTAWg",
        "outputId": "b95488bb-8edc-4fec-cacc-cccf593525dc"
      },
      "source": [
        "df.favorite.value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      803\n",
              "1       84\n",
              "2       32\n",
              "3       20\n",
              "5       11\n",
              "4        9\n",
              "7        8\n",
              "6        6\n",
              "8        6\n",
              "10       2\n",
              "21       2\n",
              "16       2\n",
              "14       2\n",
              "9        2\n",
              "178      1\n",
              "11       1\n",
              "137      1\n",
              "15       1\n",
              "18       1\n",
              "19       1\n",
              "27       1\n",
              "33       1\n",
              "34       1\n",
              "58       1\n",
              "13       1\n",
              "Name: favorite, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 114
        },
        "id": "KnEQiw4WTAWg",
        "outputId": "5cff0f73-eefb-44ad-ee93-b7f7b7bf4b98"
      },
      "source": [
        "df[df.favorite==max(df.favorite)]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>source_url</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>favorite</th>\n",
              "      <th>geo</th>\n",
              "      <th>user</th>\n",
              "      <th>created_at</th>\n",
              "      <th>profile_image</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>564</th>\n",
              "      <td>Cheers to the sky 👁️💧🍸\\n#SquidGames #artist #s...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>21</td>\n",
              "      <td>178</td>\n",
              "      <td>None</td>\n",
              "      <td>🥀 Иоаннушка 🥀</td>\n",
              "      <td>2021-11-03 22:46:50</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1425219344...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  text  ...                                      profile_image\n",
              "564  Cheers to the sky 👁️💧🍸\\n#SquidGames #artist #s...  ...  http://pbs.twimg.com/profile_images/1425219344...\n",
              "\n",
              "[1 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Afup6Rl0fIEA",
        "outputId": "bfdfc2ab-0f69-4516-d1c1-105d2c02b0bd"
      },
      "source": [
        "df.retweet_count.value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        400\n",
              "1        109\n",
              "2         64\n",
              "53        51\n",
              "3         42\n",
              "        ... \n",
              "41         1\n",
              "38         1\n",
              "36         1\n",
              "143        1\n",
              "11260      1\n",
              "Name: retweet_count, Length: 87, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 435
        },
        "id": "Xid7n2g6fOBx",
        "outputId": "834d228c-5546-4752-ba6a-72aa0f7fee27"
      },
      "source": [
        "df[df.retweet_count== max(df.retweet_count)] "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>source_url</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>favorite</th>\n",
              "      <th>geo</th>\n",
              "      <th>user</th>\n",
              "      <th>created_at</th>\n",
              "      <th>profile_image</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>389</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>BCG</td>\n",
              "      <td>2021-11-04 09:02:04</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/9114221085...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>402</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>𓂃* ❅ 𝐸ᴜʟᴀ ℄ᴀᴡʀᴇɴᴄᴇ</td>\n",
              "      <td>2021-11-04 07:49:36</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455402238...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>624</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>ISMAGRANDI ~🇲🇽</td>\n",
              "      <td>2021-11-03 20:49:53</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1409114071...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>802</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>FFkla</td>\n",
              "      <td>2021-11-03 12:16:11</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1232146887...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>824</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>marshall__</td>\n",
              "      <td>2021-11-03 11:37:04</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455707641...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>939</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>🤏🏻</td>\n",
              "      <td>2021-11-03 04:02:38</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455586468...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  text  ...                                      profile_image\n",
              "389  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/9114221085...\n",
              "402  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1455402238...\n",
              "624  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1409114071...\n",
              "802  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1232146887...\n",
              "824  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1455707641...\n",
              "939  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1455586468...\n",
              "\n",
              "[6 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CKh385RhhOoW",
        "outputId": "1c55e8b2-8398-403c-a78d-3302e531ba34"
      },
      "source": [
        "list(df[df.retweet_count== max(df.retweet_count)].text)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['RT @genshashin: If Squid game was a Genshin event...\\n\\n...Also this took forever to edit omg cry cry\\nhttps://t.co/20jGOu3BJ9\\n\\n#GenshinImpact…',\n",
              " 'RT @genshashin: If Squid game was a Genshin event...\\n\\n...Also this took forever to edit omg cry cry\\nhttps://t.co/20jGOu3BJ9\\n\\n#GenshinImpact…',\n",
              " 'RT @genshashin: If Squid game was a Genshin event...\\n\\n...Also this took forever to edit omg cry cry\\nhttps://t.co/20jGOu3BJ9\\n\\n#GenshinImpact…',\n",
              " 'RT @genshashin: If Squid game was a Genshin event...\\n\\n...Also this took forever to edit omg cry cry\\nhttps://t.co/20jGOu3BJ9\\n\\n#GenshinImpact…',\n",
              " 'RT @genshashin: If Squid game was a Genshin event...\\n\\n...Also this took forever to edit omg cry cry\\nhttps://t.co/20jGOu3BJ9\\n\\n#GenshinImpact…',\n",
              " 'RT @genshashin: If Squid game was a Genshin event...\\n\\n...Also this took forever to edit omg cry cry\\nhttps://t.co/20jGOu3BJ9\\n\\n#GenshinImpact…']"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 753
        },
        "id": "0OfgiT1LTAWh",
        "outputId": "156f2484-0e90-4229-a07a-9c310eab482b"
      },
      "source": [
        "df.sort_values(by=['created_at'], ascending=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th>profile_image</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Can't be the only one 😅 Have you watched #Squi...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>GPblog.com</td>\n",
              "      <td>2021-11-05 09:21:52</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1133315715...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>216</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>PIN_Rose🍓</td>\n",
              "      <td>2021-11-05 09:16:45</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1456548942...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>RT @teenypribble: Whom in Astro do you think c...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>프리얄 🎟 🍄♡~♪ Billlie Debut MJ solo</td>\n",
              "      <td>2021-11-05 08:58:43</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1452176682...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>RT @teenypribble: Whom in Astro do you think c...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>PAV 🧛‍♀️ ll FLOWERLD 🎟</td>\n",
              "      <td>2021-11-05 08:57:44</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1452672997...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>RT @HTTech: Concerns regarding the #SquidGames...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Mayukh Tatai</td>\n",
              "      <td>2021-11-05 08:53:28</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1417888249...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>RT @nityisdreaming: silly thing im posting b4 ...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>16</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Shinomitsu Week 2021!</td>\n",
              "      <td>2021-11-03 01:26:47</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455361633...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>Bloodshore Movie Arrives Nov 3rd 🪓🎮🧨 \\nhttps:/...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>6</td>\n",
              "      <td>7</td>\n",
              "      <td>None</td>\n",
              "      <td>Andy Anson Actor</td>\n",
              "      <td>2021-11-03 01:26:18</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1454028285...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>I've just watched episode S01 | E09 of Squid G...</td>\n",
              "      <td>TV Time, TV show tracker</td>\n",
              "      <td>https://www.tvtime.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>كرِسس</td>\n",
              "      <td>2021-11-03 01:23:41</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1381423450...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>Clinical Psychologist, Roxanne Goff explains h...</td>\n",
              "      <td>Sprout Social</td>\n",
              "      <td>https://sproutsocial.com</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>None</td>\n",
              "      <td>Macquarie University</td>\n",
              "      <td>2021-11-03 01:23:01</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/5772486261...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>RT @TScailing: Silly World, an Indian-based ga...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Aryan Agarwal</td>\n",
              "      <td>2021-11-03 01:22:35</td>\n",
              "      <td>http://abs.twimg.com/sticky/default_profile_im...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  text  ...                                      profile_image\n",
              "0    Can't be the only one 😅 Have you watched #Squi...  ...  http://pbs.twimg.com/profile_images/1133315715...\n",
              "1    RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this...  ...  http://pbs.twimg.com/profile_images/1456548942...\n",
              "2    RT @teenypribble: Whom in Astro do you think c...  ...  http://pbs.twimg.com/profile_images/1452176682...\n",
              "3    RT @teenypribble: Whom in Astro do you think c...  ...  http://pbs.twimg.com/profile_images/1452672997...\n",
              "4    RT @HTTech: Concerns regarding the #SquidGames...  ...  http://pbs.twimg.com/profile_images/1417888249...\n",
              "..                                                 ...  ...                                                ...\n",
              "995  RT @nityisdreaming: silly thing im posting b4 ...  ...  http://pbs.twimg.com/profile_images/1455361633...\n",
              "996  Bloodshore Movie Arrives Nov 3rd 🪓🎮🧨 \\nhttps:/...  ...  http://pbs.twimg.com/profile_images/1454028285...\n",
              "997  I've just watched episode S01 | E09 of Squid G...  ...  http://pbs.twimg.com/profile_images/1381423450...\n",
              "998  Clinical Psychologist, Roxanne Goff explains h...  ...  http://pbs.twimg.com/profile_images/5772486261...\n",
              "999  RT @TScailing: Silly World, an Indian-based ga...  ...  http://abs.twimg.com/sticky/default_profile_im...\n",
              "\n",
              "[1000 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 706
        },
        "id": "YXT-WJ5tTAWh",
        "outputId": "f6b15ee7-4c98-4582-b43e-d6f439ee8cb6"
      },
      "source": [
        "df.sort_values(by=['retweet_count'], ascending=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>389</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>BCG</td>\n",
              "      <td>2021-11-04 09:02:04</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/9114221085...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>939</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>🤏🏻</td>\n",
              "      <td>2021-11-03 04:02:38</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455586468...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>802</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>FFkla</td>\n",
              "      <td>2021-11-03 12:16:11</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1232146887...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>624</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>ISMAGRANDI ~🇲🇽</td>\n",
              "      <td>2021-11-03 20:49:53</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1409114071...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>402</th>\n",
              "      <td>RT @genshashin: If Squid game was a Genshin ev...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>29090</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>𓂃* ❅ 𝐸ᴜʟᴀ ℄ᴀᴡʀᴇɴᴄᴇ</td>\n",
              "      <td>2021-11-04 07:49:36</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455402238...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>698</th>\n",
              "      <td>I'd like to think I could win the #squidgames,...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>icouldbeafinch</td>\n",
              "      <td>2021-11-03 17:39:20</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455946575...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>697</th>\n",
              "      <td>@Twitter and @Variety are releasing Top Trendi...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>MorningBird Media</td>\n",
              "      <td>2021-11-03 17:42:00</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1083818872...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>696</th>\n",
              "      <td>I swear I would have an easier time completing...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Moe</td>\n",
              "      <td>2021-11-03 17:42:45</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1416810411...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>695</th>\n",
              "      <td>Fun times on Halloween!\\n#squidgames @ London,...</td>\n",
              "      <td>Instagram</td>\n",
              "      <td>http://instagram.com</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>{'type': 'Point', 'coordinates': [51.5141, -0....</td>\n",
              "      <td>Brendan</td>\n",
              "      <td>2021-11-03 17:43:33</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1317646567...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Can't be the only one 😅 Have you watched #Squi...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>GPblog.com</td>\n",
              "      <td>2021-11-05 09:21:52</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1133315715...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  text  ...                                      profile_image\n",
              "389  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/9114221085...\n",
              "939  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1455586468...\n",
              "802  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1232146887...\n",
              "624  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1409114071...\n",
              "402  RT @genshashin: If Squid game was a Genshin ev...  ...  http://pbs.twimg.com/profile_images/1455402238...\n",
              "..                                                 ...  ...                                                ...\n",
              "698  I'd like to think I could win the #squidgames,...  ...  http://pbs.twimg.com/profile_images/1455946575...\n",
              "697  @Twitter and @Variety are releasing Top Trendi...  ...  http://pbs.twimg.com/profile_images/1083818872...\n",
              "696  I swear I would have an easier time completing...  ...  http://pbs.twimg.com/profile_images/1416810411...\n",
              "695  Fun times on Halloween!\\n#squidgames @ London,...  ...  http://pbs.twimg.com/profile_images/1317646567...\n",
              "0    Can't be the only one 😅 Have you watched #Squi...  ...  http://pbs.twimg.com/profile_images/1133315715...\n",
              "\n",
              "[1000 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 786
        },
        "id": "eGfUrZ6fTAWh",
        "outputId": "31ead5f7-41dd-4d83-a2b0-88908df1056b"
      },
      "source": [
        "df.sort_values(by=['favorite'], ascending=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>source_url</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>favorite</th>\n",
              "      <th>geo</th>\n",
              "      <th>user</th>\n",
              "      <th>created_at</th>\n",
              "      <th>profile_image</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>564</th>\n",
              "      <td>Cheers to the sky 👁️💧🍸\\n#SquidGames #artist #s...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>21</td>\n",
              "      <td>178</td>\n",
              "      <td>None</td>\n",
              "      <td>🥀 Иоаннушка 🥀</td>\n",
              "      <td>2021-11-03 22:46:50</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1425219344...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>562</th>\n",
              "      <td>GRANDMA DOES \\nSQUID GAME CHALLENGE! 🍪 #SquidG...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>29</td>\n",
              "      <td>137</td>\n",
              "      <td>None</td>\n",
              "      <td>TheRealAngryGrandma</td>\n",
              "      <td>2021-11-03 22:49:52</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1425333029...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>730</th>\n",
              "      <td>#SquidGames checklist with realme. \\n1. Red Li...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>3</td>\n",
              "      <td>58</td>\n",
              "      <td>None</td>\n",
              "      <td>Bhawna Sharma</td>\n",
              "      <td>2021-11-03 16:02:45</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1433460234...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>625</th>\n",
              "      <td>SQUID GAME COASTERS\\n.\\nRT appreciated 💕\\n.\\nh...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>6</td>\n",
              "      <td>34</td>\n",
              "      <td>None</td>\n",
              "      <td>Dyl</td>\n",
              "      <td>2021-11-03 20:47:55</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1402609258...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>379</th>\n",
              "      <td>#SquidGames meets #COP26 and I love it! https:...</td>\n",
              "      <td>Twitter Media Studio</td>\n",
              "      <td>https://studio.twitter.com</td>\n",
              "      <td>9</td>\n",
              "      <td>33</td>\n",
              "      <td>None</td>\n",
              "      <td>Julianna Tatelbaum</td>\n",
              "      <td>2021-11-04 09:44:26</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1326926723...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>363</th>\n",
              "      <td>Squid Game #squidgames S01 | E04 check  https:...</td>\n",
              "      <td>TV Time, TV show tracker</td>\n",
              "      <td>https://www.tvtime.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Doublle Addict 📺</td>\n",
              "      <td>2021-11-04 11:12:43</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1163228638...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>364</th>\n",
              "      <td>RT @capunderstands: New episode of I understoo...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>JayBobDeBoodles</td>\n",
              "      <td>2021-11-04 10:48:31</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/7735795442...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>365</th>\n",
              "      <td>RT @CNBCJulianna: #SquidGames meets #COP26 and...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Eric Tartanson</td>\n",
              "      <td>2021-11-04 10:36:46</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/2706545831...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>367</th>\n",
              "      <td>RT @CNBCJulianna: #SquidGames meets #COP26 and...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Emily Shapiro1</td>\n",
              "      <td>2021-11-04 10:28:19</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1452200292...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>RT @TScailing: Silly World, an Indian-based ga...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Aryan Agarwal</td>\n",
              "      <td>2021-11-03 01:22:35</td>\n",
              "      <td>http://abs.twimg.com/sticky/default_profile_im...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  text  ...                                      profile_image\n",
              "564  Cheers to the sky 👁️💧🍸\\n#SquidGames #artist #s...  ...  http://pbs.twimg.com/profile_images/1425219344...\n",
              "562  GRANDMA DOES \\nSQUID GAME CHALLENGE! 🍪 #SquidG...  ...  http://pbs.twimg.com/profile_images/1425333029...\n",
              "730  #SquidGames checklist with realme. \\n1. Red Li...  ...  http://pbs.twimg.com/profile_images/1433460234...\n",
              "625  SQUID GAME COASTERS\\n.\\nRT appreciated 💕\\n.\\nh...  ...  http://pbs.twimg.com/profile_images/1402609258...\n",
              "379  #SquidGames meets #COP26 and I love it! https:...  ...  http://pbs.twimg.com/profile_images/1326926723...\n",
              "..                                                 ...  ...                                                ...\n",
              "363  Squid Game #squidgames S01 | E04 check  https:...  ...  http://pbs.twimg.com/profile_images/1163228638...\n",
              "364  RT @capunderstands: New episode of I understoo...  ...  http://pbs.twimg.com/profile_images/7735795442...\n",
              "365  RT @CNBCJulianna: #SquidGames meets #COP26 and...  ...  http://pbs.twimg.com/profile_images/2706545831...\n",
              "367  RT @CNBCJulianna: #SquidGames meets #COP26 and...  ...  http://pbs.twimg.com/profile_images/1452200292...\n",
              "999  RT @TScailing: Silly World, an Indian-based ga...  ...  http://abs.twimg.com/sticky/default_profile_im...\n",
              "\n",
              "[1000 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "_wJjWXV4TAWi",
        "outputId": "dedbb851-f5c2-4a16-c741-6dd287024983"
      },
      "source": [
        "df[[\"retweet_count\",\"favorite\"]]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>favorite</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>216</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>16</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>6</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     retweet_count  favorite\n",
              "0                0         0\n",
              "1              216         0\n",
              "2                6         0\n",
              "3                6         0\n",
              "4                2         0\n",
              "..             ...       ...\n",
              "995             16         0\n",
              "996              6         7\n",
              "997              0         0\n",
              "998              1         5\n",
              "999              1         0\n",
              "\n",
              "[1000 rows x 2 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oOyUPY0QTAWi"
      },
      "source": [
        "# text mining\n",
        "https://www.nltk.org/book/ch02.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lk-K4e-aruA3"
      },
      "source": [
        "df"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oJrccRqHs1df",
        "outputId": "30756a86-47d9-4a1c-ca0f-6e415ed57a3b"
      },
      "source": [
        "df.text.map(lambda x: len(x.split())>30).value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False    997\n",
              "True       3\n",
              "Name: text, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 192
        },
        "id": "m-dpskukE2m9",
        "outputId": "bbd23353-c768-444b-a810-728e21a19ed8"
      },
      "source": [
        "df[df.text.map(lambda x: len(x.split())>30)]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>source_url</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>favorite</th>\n",
              "      <th>geo</th>\n",
              "      <th>user</th>\n",
              "      <th>created_at</th>\n",
              "      <th>profile_image</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>216</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>PIN_Rose🍓</td>\n",
              "      <td>2021-11-05 09:16:45</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1456548942...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>503</th>\n",
              "      <td>RT @Daddyphatsnaps: I have to say Squid games ...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>63</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>kel (BLM)</td>\n",
              "      <td>2021-11-04 00:05:44</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1305380609...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>693</th>\n",
              "      <td>RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this...</td>\n",
              "      <td>Twitter Web App</td>\n",
              "      <td>https://mobile.twitter.com</td>\n",
              "      <td>216</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Euryalus</td>\n",
              "      <td>2021-11-03 17:53:16</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1419374122...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  text  ...                                      profile_image\n",
              "1    RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this...  ...  http://pbs.twimg.com/profile_images/1456548942...\n",
              "503  RT @Daddyphatsnaps: I have to say Squid games ...  ...  http://pbs.twimg.com/profile_images/1305380609...\n",
              "693  RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this...  ...  http://pbs.twimg.com/profile_images/1419374122...\n",
              "\n",
              "[3 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Fa18OEi6TAWi",
        "outputId": "72aaac60-3cb3-4e44-82ac-46f5ade8c364"
      },
      "source": [
        "!pip3 install nltk"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: nltk in /usr/local/lib/python3.7/dist-packages (3.2.5)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from nltk) (1.15.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ORDjJgTfTAWi",
        "outputId": "30b45351-aead-47a7-a098-53f00356982c"
      },
      "source": [
        "import nltk\n",
        "nltk.download(\"stopwords\")\n",
        "from nltk.corpus import stopwords"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PsDxm3DGTAWj",
        "outputId": "5d8bfdf8-23fa-4e6c-e0f9-0b0291a7bc84"
      },
      "source": [
        "stp=stopwords.words('english')\n",
        "print(stopwords.words('english'))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', \"you're\", \"you've\", \"you'll\", \"you'd\", 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', \"she's\", 'her', 'hers', 'herself', 'it', \"it's\", 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', \"that'll\", 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', \"don't\", 'should', \"should've\", 'now', 'd', 'll', 'm', 'o', 're', 've', 'y', 'ain', 'aren', \"aren't\", 'couldn', \"couldn't\", 'didn', \"didn't\", 'doesn', \"doesn't\", 'hadn', \"hadn't\", 'hasn', \"hasn't\", 'haven', \"haven't\", 'isn', \"isn't\", 'ma', 'mightn', \"mightn't\", 'mustn', \"mustn't\", 'needn', \"needn't\", 'shan', \"shan't\", 'shouldn', \"shouldn't\", 'wasn', \"wasn't\", 'weren', \"weren't\", 'won', \"won't\", 'wouldn', \"wouldn't\"]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S6DoWR03TAWj",
        "outputId": "3c8e1076-2333-4033-9545-4737ea21f1d7"
      },
      "source": [
        "list(df.text)[:10]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[\"Can't be the only one 😅 Have you watched #SquidGame or you waiting for the hype to calm down a bit? \\n\\n#F1 |… https://t.co/pDQZf2ExDn\",\n",
              " 'RT @Bubblepurity: ○ ▢ △\\n\\nI saw a lot of this crossover, and I just doodling it— and I think I have to share it to you guys. 😳💕I just have n…',\n",
              " 'RT @teenypribble: Whom in Astro do you think can win the squid games?\\n#아스트로 #ASTRO @offclASTRO \\n#astrofanart  #squidgamefanart \\nMoonbin X #…',\n",
              " 'RT @teenypribble: Whom in Astro do you think can win the squid games?\\n#아스트로 #ASTRO @offclASTRO \\n#astrofanart  #squidgamefanart \\nMoonbin X #…',\n",
              " 'RT @HTTech: Concerns regarding the #SquidGames cryptocurrency all came true when it crashed to just $0. Check most important lessons for in…',\n",
              " '#squidgames is fckn overrated piece of garbage.',\n",
              " 'RT @Matak_57: Squid Game: The 1st Game\\nBased on first game of Netflix series, the Squid Game.\\n\\nhttps://t.co/5jtakKbaZI\\n( 0.10 ETH. / 1 /1 E…',\n",
              " 'RT @Thuminnoo: My new hobby is drawing iconic scenes from Squid Game 🐙 🎮 #SquidGame #squidgamefanart #SquidGames https://t.co/SB03XJiJ7R',\n",
              " 'RT @HTTech: Concerns regarding the #SquidGames cryptocurrency all came true when it crashed to just $0. Check most important lessons for in…',\n",
              " 'Concerns regarding the #SquidGames cryptocurrency all came true when it crashed to just $0. Check most important le… https://t.co/fwi5g6C8Ev']"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FPHcDJGKTAWj"
      },
      "source": [
        "all_text=\"\"\n",
        "for t in df.text:\n",
        "    all_text=all_text+\" \"+ t.lower()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137
        },
        "id": "yjCkzuvLTAWj",
        "outputId": "15afc4d5-51f8-4733-b799-ca8c7695ccc8"
      },
      "source": [
        "all_text[:1000]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "\" can't be the only one 😅 have you watched #squidgame or you waiting for the hype to calm down a bit? \\n\\n#f1 |… https://t.co/pdqzf2exdn rt @bubblepurity: ○ ▢ △\\n\\ni saw a lot of this crossover, and i just doodling it— and i think i have to share it to you guys. 😳💕i just have n… rt @teenypribble: whom in astro do you think can win the squid games?\\n#아스트로 #astro @offclastro \\n#astrofanart  #squidgamefanart \\nmoonbin x #… rt @teenypribble: whom in astro do you think can win the squid games?\\n#아스트로 #astro @offclastro \\n#astrofanart  #squidgamefanart \\nmoonbin x #… rt @httech: concerns regarding the #squidgames cryptocurrency all came true when it crashed to just $0. check most important lessons for in… #squidgames is fckn overrated piece of garbage. rt @matak_57: squid game: the 1st game\\nbased on first game of netflix series, the squid game.\\n\\nhttps://t.co/5jtakkbazi\\n( 0.10 eth. / 1 /1 e… rt @thuminnoo: my new hobby is drawing iconic scenes from squid game 🐙 🎮 #squidgame #squidgamefanart #squidgames \""
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HSu3MA3WTAWj"
      },
      "source": [
        "all_text2=all_text.split()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z_7KYH9Wf0oY",
        "outputId": "f68a8f4b-7984-4e13-cd81-b36deb154568"
      },
      "source": [
        "all_text2[:5]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[\"can't\", 'be', 'the', 'only', 'one']"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AqkaJdrnTAWj",
        "outputId": "635ec851-5299-458a-b053-aca911cb6758"
      },
      "source": [
        "len(all_text2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "15297"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-7eE2TI2TAWk"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P1AURxP2TAWk"
      },
      "source": [
        "fd=nltk.FreqDist(all_text2)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lW9zEYrAgdBH",
        "outputId": "2b4500f6-61a3-40a2-e12c-6a525334a466"
      },
      "source": [
        "fd.most_common(20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('#squidgames', 619),\n",
              " ('rt', 516),\n",
              " ('squid', 324),\n",
              " ('the', 262),\n",
              " ('game', 243),\n",
              " ('to', 199),\n",
              " ('of', 174),\n",
              " ('a', 165),\n",
              " ('i', 160),\n",
              " ('and', 155),\n",
              " ('#squidgame', 118),\n",
              " ('is', 114),\n",
              " ('this', 111),\n",
              " ('just', 102),\n",
              " ('you', 100),\n",
              " ('with', 95),\n",
              " ('in', 91),\n",
              " ('on', 91),\n",
              " ('for', 87),\n",
              " ('|', 83)]"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lKgKblkdTAWk"
      },
      "source": [
        "## text cleaning"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bkzl2vbjTAWk"
      },
      "source": [
        "all_text3= [w for w in all_text2 if w not in stp]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ktGOodPbgpUg"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wgmtaOvATAWk",
        "outputId": "1f0976ba-8a2a-47e2-9aa2-4939dec63912"
      },
      "source": [
        "print(all_text3[:10])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[\"can't\", 'one', '😅', 'watched', '#squidgame', 'waiting', 'hype', 'calm', 'bit?', '#f1']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nmXU6bcgTAWk"
      },
      "source": [
        "all_text4= [w for w in all_text3 if len(w)>3 and not(\"://\" in w )]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GGwGY4FITAWl",
        "outputId": "2ea2fabb-67dc-402b-8648-68bcfdd44b0e"
      },
      "source": [
        "print(all_text4[:100])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[\"can't\", 'watched', '#squidgame', 'waiting', 'hype', 'calm', 'bit?', '@bubblepurity:', 'crossover,', 'doodling', 'think', 'share', 'guys.', '@teenypribble:', 'astro', 'think', 'squid', 'games?', '#아스트로', '#astro', '@offclastro', '#astrofanart', '#squidgamefanart', 'moonbin', '@teenypribble:', 'astro', 'think', 'squid', 'games?', '#아스트로', '#astro', '@offclastro', '#astrofanart', '#squidgamefanart', 'moonbin', '@httech:', 'concerns', 'regarding', '#squidgames', 'cryptocurrency', 'came', 'true', 'crashed', 'check', 'important', 'lessons', '#squidgames', 'fckn', 'overrated', 'piece', 'garbage.', '@matak_57:', 'squid', 'game:', 'game', 'based', 'first', 'game', 'netflix', 'series,', 'squid', 'game.', '0.10', 'eth.', '@thuminnoo:', 'hobby', 'drawing', 'iconic', 'scenes', 'squid', 'game', '#squidgame', '#squidgamefanart', '#squidgames', '@httech:', 'concerns', 'regarding', '#squidgames', 'cryptocurrency', 'came', 'true', 'crashed', 'check', 'important', 'lessons', 'concerns', 'regarding', '#squidgames', 'cryptocurrency', 'came', 'true', 'crashed', 'check', 'important', '@mimirtoken:', 'friendly', 'advise:', 'playing', 'mimir', 'quiz']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-61dSEQNTAWl"
      },
      "source": [
        "fd2=nltk.FreqDist(all_text4)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kG-XM6mITAWl",
        "outputId": "296aec59-76ba-44b5-ad84-560b206aeaca"
      },
      "source": [
        "fd2.most_common(20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('#squidgames', 619),\n",
              " ('squid', 324),\n",
              " ('game', 243),\n",
              " ('#squidgame', 118),\n",
              " ('game!', 78),\n",
              " ('#tvtime', 76),\n",
              " ('watched', 70),\n",
              " ('episode', 68),\n",
              " (\"i've\", 63),\n",
              " ('great', 63),\n",
              " ('$squid', 63),\n",
              " ('making', 62),\n",
              " ('lets', 57),\n",
              " ('games', 47),\n",
              " ('like', 43),\n",
              " ('@t_zumu:', 42),\n",
              " ('trigger', 42),\n",
              " ('games👀', 42),\n",
              " ('#idolish7', 42),\n",
              " ('#squidgamefanart', 40)]"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pruj9oYGTAWl"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F4KgwGGfTAWl"
      },
      "source": [
        "# Work with hashtags"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6DX9ZGJpTAWl"
      },
      "source": [
        "ht= [w for w in all_text4 if w.startswith(\"#\")]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PwoY5CbeTAWm",
        "outputId": "f9c81793-13da-48e8-9e58-9487ae9811fd"
      },
      "source": [
        "print(ht[:30])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['#squidgame', '#아스트로', '#astro', '#astrofanart', '#squidgamefanart', '#아스트로', '#astro', '#astrofanart', '#squidgamefanart', '#squidgames', '#squidgames', '#squidgame', '#squidgamefanart', '#squidgames', '#squidgames', '#squidgames', '#mimirtoken', '#squidgames', '#play2earn…', '#1300', '#nfts', '#nftdrops', '#nftcollectors', '#squidgam…', '#squidgames', '#tvtime', '#squidgame', '#squidgames', '#crabgame', '#youtube']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k3Th2iETTAWm",
        "outputId": "cad84cc6-aff3-4dc1-8674-e654aa1ea8ca"
      },
      "source": [
        "fd3=nltk.FreqDist(ht)\n",
        "fd3.most_common(20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('#squidgames', 619),\n",
              " ('#squidgame', 118),\n",
              " ('#tvtime', 76),\n",
              " ('#idolish7', 42),\n",
              " ('#squidgamefanart', 40),\n",
              " ('#squidgametoken', 26),\n",
              " ('#squidgamenetflix', 23),\n",
              " ('#artist', 22),\n",
              " ('#saebyeok', 20),\n",
              " ('#leeyoomi', 19),\n",
              " ('#squidgames…', 19),\n",
              " ('#nft', 18),\n",
              " ('#sexycinderella', 17),\n",
              " ('#halloween', 17),\n",
              " ('#kdrama', 16),\n",
              " ('#kdramatwt', 16),\n",
              " ('#vincenzoep19', 16),\n",
              " ('#vincenzo', 16),\n",
              " ('#lovealarm', 16),\n",
              " ('#nevertheless', 16)]"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "75Q3FW9-TAWm"
      },
      "source": [
        "fd=nltk.FreqDist(ht)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fS8TWr1hTAWm",
        "outputId": "c4998705-9f17-4743-ee05-5bf33197ddf0"
      },
      "source": [
        "for e in fd:\n",
        "    if fd[e]>7:\n",
        "        print(e, fd[e])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "#squidgame 118\n",
            "#squidgamefanart 40\n",
            "#squidgames 619\n",
            "#nfts 9\n",
            "#tvtime 76\n",
            "#crabgame 11\n",
            "#fanart 9\n",
            "#fortnite 9\n",
            "#fortnitecreative 9\n",
            "#squidgames, 12\n",
            "#leeyoomi 19\n",
            "#squidgamenetflix 23\n",
            "#artist 22\n",
            "#saebyeok 20\n",
            "#idolish7 42\n",
            "#netflix 8\n",
            "#squidgametoken 26\n",
            "#kdrama 16\n",
            "#kdramatwt 16\n",
            "#vincenzoep19 16\n",
            "#vincenzo 16\n",
            "#lovealarm 16\n",
            "#nevertheless 16\n",
            "#kdramaquotes 16\n",
            "#kdramas 16\n",
            "#for… 15\n",
            "#squidgames… 19\n",
            "#bsc 11\n",
            "#nft 18\n",
            "#seonggihun 10\n",
            "#cop26 11\n",
            "#squid 14\n",
            "#birthday 10\n",
            "#gift 9\n",
            "#present 9\n",
            "#christmas 9\n",
            "#christmasgift 9\n",
            "#squidga… 12\n",
            "#nftcommunity 8\n",
            "#kangsaebyeok 8\n",
            "#jiyeong 8\n",
            "#sexycinderella 17\n",
            "#halloween 17\n",
            "#bloodshore 10\n",
            "#film 10\n",
            "#actor 9\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1OzwAXmoXTzP"
      },
      "source": [
        "'''\n",
        "for e in fd:\n",
        "    if fd[e]>7:\n",
        "        print(e, fd[e])\n",
        "'''\n",
        "hashtags= pd.DataFrame()\n",
        "hashtags[\"key\"]= fd.keys()\n",
        "hashtags[\"count\"]=fd.values()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "IuUNwvRTXvvp",
        "outputId": "6d6df731-989f-489d-fd43-9956ac0d3658"
      },
      "source": [
        "hashtags.sort_values(\"count\",ascending=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>key</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>#squidgames</td>\n",
              "      <td>619</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>#squidgame</td>\n",
              "      <td>118</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>#tvtime</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>#idolish7</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>#squidgamefanart</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>293</th>\n",
              "      <td>#gaming</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>291</th>\n",
              "      <td>#top1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>289</th>\n",
              "      <td>#usa</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>287</th>\n",
              "      <td>#ebay</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>571</th>\n",
              "      <td>#actor…</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>572 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  key  count\n",
              "5         #squidgames    619\n",
              "0          #squidgame    118\n",
              "13            #tvtime     76\n",
              "83          #idolish7     42\n",
              "4    #squidgamefanart     40\n",
              "..                ...    ...\n",
              "293           #gaming      1\n",
              "291             #top1      1\n",
              "289              #usa      1\n",
              "287             #ebay      1\n",
              "571           #actor…      1\n",
              "\n",
              "[572 rows x 2 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0hc7bKunTAWn"
      },
      "source": [
        "# the longest word"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VODoOMICFIiS",
        "outputId": "910bab1a-9e98-4dc2-b749-e3bb6e4f4505"
      },
      "source": [
        "q=[1,1,1,1,12,2,2,2,3,3,3,3,3,3,4,4,4,4,4,4]\n",
        "set(q)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{1, 2, 3, 4, 12}"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tAw-s4N_TAWn"
      },
      "source": [
        "wlen=[(len(w), w) for w in set(all_text4)]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xeRuM5XGTAWn",
        "outputId": "6d68209e-025a-4bc3-de89-74bdfc1c4910"
      },
      "source": [
        "wlen[:20]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(6, 'trying'),\n",
              " (12, 'just-above-…'),\n",
              " (6, 'octopi'),\n",
              " (6, 'games.'),\n",
              " (5, '#fypシ'),\n",
              " (4, '#bnb'),\n",
              " (14, '@helloimmorgan'),\n",
              " (7, 'cruiser'),\n",
              " (10, '@bit20074:'),\n",
              " (7, 'moonbin'),\n",
              " (6, 'please'),\n",
              " (6, 'time.…'),\n",
              " (15, '#hometownchach…'),\n",
              " (5, '$mbx,'),\n",
              " (7, '@cmc223'),\n",
              " (6, 'assets'),\n",
              " (11, '@ashwsbreal'),\n",
              " (7, 'twisted'),\n",
              " (9, '@telegram'),\n",
              " (8, 'preached')]"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iHQr1RETTAWn",
        "outputId": "8668c521-58fa-4b03-e276-fba563489329"
      },
      "source": [
        "sorted(wlen)[-10:]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(36, 'contractaddr:0x87230146e138d3f296a9…'),\n",
              " (41, 'contractaddr:0x87230146e138d3f296a9a77e4…'),\n",
              " (42, '0x87230146e138d3f296a9a77e497a2a83012e9bc5'),\n",
              " (42, 'contractaddr:0x87230146e138d3f296a9a77e49…'),\n",
              " (43, '0x440fc7da66e34e01af5201bdf5815739b0ae743f…'),\n",
              " (53, 'contractaddr:0x87230146e138d3f296a9a77e497a2a83012e9…'),\n",
              " (54, 'contractaddr:0x87230146e138d3f296a9a77e497a2a83012e9b…'),\n",
              " (55, 'contractaddr:0x87230146e138d3f296a9a77e497a2a83012e9bc5'),\n",
              " (56, 'contractaddr:0x87230146e138d3f296a9a77e497a2a83012e9bc5…'),\n",
              " (65, '🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🍀🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲🌲')]"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_b39Lf2qTAWn",
        "outputId": "656f11ab-59a3-4a06-eb3b-3b264396f1eb"
      },
      "source": [
        "[e for e in sorted(wlen)[-20:] if \"#\" in e[1]]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(22, '#marikinonline4_fanart'),\n",
              " (22, 'timeline😏#facebookdown'),\n",
              " (23, '#dont_fight_the_feeling'),\n",
              " (23, '#hometownchachachaep11…'),\n",
              " (23, 'special!😱#nftcommunity,'),\n",
              " (24, '#nationalsandwichday!!!!'),\n",
              " (26, '#animalcrossingnewhorizons')]"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nBRbIoXlTAWn"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HD7WlBNxTAWn"
      },
      "source": [
        "# "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Uk1aTH_X_te"
      },
      "source": [
        "df.text.to_csv(\"text.csv\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yOdIznNAkXzj"
      },
      "source": [
        "df[df.text.map(lambda x: len(x.split()))>3].text.to_csv(\"text_with_3_tokens.csv\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Av5s2YEUi_Pm"
      },
      "source": [
        "list(df.text)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sDCx1dNXF1cn"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WPGqRFaEGHQw"
      },
      "source": [
        "# Build UI with Gradio"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ADQ_9XqdF1o7",
        "outputId": "91456799-a216-40fc-e6b4-ea3c865c6485"
      },
      "source": [
        "!pip install transformers gradio"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting transformers\n",
            "  Downloading transformers-4.12.5-py3-none-any.whl (3.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.1 MB 5.2 MB/s \n",
            "\u001b[?25hCollecting gradio\n",
            "  Downloading gradio-2.4.5-py3-none-any.whl (2.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.0 MB 50.3 MB/s \n",
            "\u001b[?25hCollecting tokenizers<0.11,>=0.10.1\n",
            "  Downloading tokenizers-0.10.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.3 MB)\n",
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            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.7/dist-packages (from transformers) (4.62.3)\n",
            "Collecting sacremoses\n",
            "  Downloading sacremoses-0.0.46-py3-none-any.whl (895 kB)\n",
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            "Collecting pyyaml>=5.1\n",
            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
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            "\u001b[?25hRequirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.7/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers) (3.10.0.2)\n",
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            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from gradio) (1.1.5)\n",
            "Collecting markdown2\n",
            "  Downloading markdown2-2.4.1-py2.py3-none-any.whl (34 kB)\n",
            "Requirement already satisfied: Flask>=1.1.1 in /usr/local/lib/python3.7/dist-packages (from gradio) (1.1.4)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from gradio) (3.2.2)\n",
            "Collecting paramiko\n",
            "  Downloading paramiko-2.8.0-py2.py3-none-any.whl (206 kB)\n",
            "\u001b[K     |████████████████████████████████| 206 kB 71.9 MB/s \n",
            "\u001b[?25hCollecting ffmpy\n",
            "  Downloading ffmpy-0.3.0.tar.gz (4.8 kB)\n",
            "Collecting pycryptodome\n",
            "  Downloading pycryptodome-3.11.0-cp35-abi3-manylinux2010_x86_64.whl (1.9 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.9 MB 51.7 MB/s \n",
            "\u001b[?25hCollecting pydub\n",
            "  Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
            "Collecting analytics-python\n",
            "  Downloading analytics_python-1.4.0-py2.py3-none-any.whl (15 kB)\n",
            "Collecting Flask-Login\n",
            "  Downloading Flask_Login-0.5.0-py2.py3-none-any.whl (16 kB)\n",
            "Collecting flask-cachebuster\n",
            "  Downloading Flask-CacheBuster-1.0.0.tar.gz (3.1 kB)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.7/dist-packages (from gradio) (7.1.2)\n",
            "Collecting Flask-Cors>=3.0.8\n",
            "  Downloading Flask_Cors-3.0.10-py2.py3-none-any.whl (14 kB)\n",
            "Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=1.1.1->gradio) (2.11.3)\n",
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            "Requirement already satisfied: click<8.0,>=5.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=1.1.1->gradio) (7.1.2)\n",
            "Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from Flask>=1.1.1->gradio) (1.1.0)\n",
            "Requirement already satisfied: Six in /usr/local/lib/python3.7/dist-packages (from Flask-Cors>=3.0.8->gradio) (1.15.0)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->Flask>=1.1.1->gradio) (2.0.1)\n",
            "Collecting backoff==1.10.0\n",
            "  Downloading backoff-1.10.0-py2.py3-none-any.whl (31 kB)\n",
            "Requirement already satisfied: python-dateutil>2.1 in /usr/local/lib/python3.7/dist-packages (from analytics-python->gradio) (2.8.2)\n",
            "Collecting monotonic>=1.5\n",
            "  Downloading monotonic-1.6-py2.py3-none-any.whl (8.2 kB)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (3.0.4)\n",
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            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2021.10.8)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->transformers) (3.6.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->gradio) (1.3.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->gradio) (0.11.0)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas->gradio) (2018.9)\n",
            "Collecting pynacl>=1.0.1\n",
            "  Downloading PyNaCl-1.4.0-cp35-abi3-manylinux1_x86_64.whl (961 kB)\n",
            "\u001b[K     |████████████████████████████████| 961 kB 57.9 MB/s \n",
            "\u001b[?25hCollecting cryptography>=2.5\n",
            "  Downloading cryptography-35.0.0-cp36-abi3-manylinux_2_24_x86_64.whl (3.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.5 MB 44.4 MB/s \n",
            "\u001b[?25hCollecting bcrypt>=3.1.3\n",
            "  Downloading bcrypt-3.2.0-cp36-abi3-manylinux2010_x86_64.whl (63 kB)\n",
            "\u001b[K     |████████████████████████████████| 63 kB 2.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: cffi>=1.1 in /usr/local/lib/python3.7/dist-packages (from bcrypt>=3.1.3->paramiko->gradio) (1.15.0)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi>=1.1->bcrypt>=3.1.3->paramiko->gradio) (2.21)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.1.0)\n",
            "Building wheels for collected packages: ffmpy, flask-cachebuster\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4710 sha256=a34560cc2708c5a6f8060edbc947ce05dc4aa1c86b265741d5f9b8c4f0aaaac0\n",
            "  Stored in directory: /root/.cache/pip/wheels/13/e4/6c/e8059816e86796a597c6e6b0d4c880630f51a1fcfa0befd5e6\n",
            "  Building wheel for flask-cachebuster (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for flask-cachebuster: filename=Flask_CacheBuster-1.0.0-py3-none-any.whl size=3371 sha256=3e795e31de216923f32624f87ea1f9ea5c78b9539677d41c1e86c0b1da9089db\n",
            "  Stored in directory: /root/.cache/pip/wheels/28/c0/c4/44687421dab41455be93112bd1b0dee1f3c5a9aa27bee63708\n",
            "Successfully built ffmpy flask-cachebuster\n",
            "Installing collected packages: pyyaml, pynacl, monotonic, cryptography, bcrypt, backoff, tokenizers, sacremoses, pydub, pycryptodome, paramiko, markdown2, huggingface-hub, Flask-Login, Flask-Cors, flask-cachebuster, ffmpy, analytics-python, transformers, gradio\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "Successfully installed Flask-Cors-3.0.10 Flask-Login-0.5.0 analytics-python-1.4.0 backoff-1.10.0 bcrypt-3.2.0 cryptography-35.0.0 ffmpy-0.3.0 flask-cachebuster-1.0.0 gradio-2.4.5 huggingface-hub-0.1.2 markdown2-2.4.1 monotonic-1.6 paramiko-2.8.0 pycryptodome-3.11.0 pydub-0.25.1 pynacl-1.4.0 pyyaml-6.0 sacremoses-0.0.46 tokenizers-0.10.3 transformers-4.12.5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XydihB5YF1yM"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 389
        },
        "id": "bBFjVwZIF12B",
        "outputId": "202d592c-421c-45da-a556-2ab3af2f3102"
      },
      "source": [
        "from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline\n",
        "sa= pipeline(\"sentiment-analysis\")\n",
        "\n",
        "def adjust(x):\n",
        "  if x<0:\n",
        "    return 2*x+1\n",
        "  return 2*x-1\n",
        "\n",
        "def sa2(s):\n",
        "  res= sa(s)\n",
        "  return [adjust(-1*r['score']) if r['label']=='negative' else adjust(r['score']) for r in res ]\n",
        "  \n",
        "  \n",
        "import pandas as pd\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "def grfunc(comments):\n",
        "  df=pd.DataFrame()\n",
        "  c2=[s.strip() for s in comments.split(\"\\n\") if len(s.split())>2]\n",
        "  df[\"scores\"]= sa2(c2)\n",
        "  df.plot(kind='hist')\n",
        "  return plt.gcf()\n",
        " \n",
        "import gradio as gr\n",
        "\n",
        "iface = gr.Interface(\n",
        "  fn=grfunc, \n",
        "  inputs=gr.inputs.Textbox(placeholder=\"put your sentences line by line\", lines=5), \n",
        "  outputs=\"plot\")\n",
        "iface.launch()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "ename": "ModuleNotFoundError",
          "evalue": "ignored",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-118-4381d0c7f7ab>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mtransformers\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mAutoModelForSequenceClassification\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAutoTokenizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpipeline\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0msa\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mpipeline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"sentiment-analysis\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0madjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'transformers'",
            "",
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "Hw4ewNMO6nYG",
        "outputId": "706a1406-bb7c-4542-f037-ae32a25eef40"
      },
      "source": [
        "df.to_csv(\"sus.txt\")\n",
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "sample_data  sus.txt\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1YBARIgFAgzX"
      },
      "source": [
        "# Image Processing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bchZ3Ud6A7yq",
        "outputId": "cd9270d8-9347-40e9-ba5a-ad406ed9ad6c"
      },
      "source": [
        "pip install transformers"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting transformers\n",
            "  Downloading transformers-4.12.3-py3-none-any.whl (3.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.1 MB 3.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from transformers) (3.3.0)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from transformers) (4.8.1)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (1.19.5)\n",
            "Collecting huggingface-hub<1.0,>=0.1.0\n",
            "  Downloading huggingface_hub-0.1.0-py3-none-any.whl (59 kB)\n",
            "\u001b[K     |████████████████████████████████| 59 kB 5.9 MB/s \n",
            "\u001b[?25hCollecting tokenizers<0.11,>=0.10.1\n",
            "  Downloading tokenizers-0.10.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.3 MB 40.9 MB/s \n",
            "\u001b[?25hRequirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.7/dist-packages (from transformers) (2019.12.20)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from transformers) (2.23.0)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.7/dist-packages (from transformers) (4.62.3)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.7/dist-packages (from transformers) (21.0)\n",
            "Collecting pyyaml>=5.1\n",
            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
            "\u001b[K     |████████████████████████████████| 596 kB 52.3 MB/s \n",
            "\u001b[?25hCollecting sacremoses\n",
            "  Downloading sacremoses-0.0.46-py3-none-any.whl (895 kB)\n",
            "\u001b[K     |████████████████████████████████| 895 kB 35.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers) (3.7.4.3)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=20.0->transformers) (2.4.7)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->transformers) (3.6.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2021.5.30)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (2.10)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (1.24.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->transformers) (3.0.4)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.0.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (1.15.0)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers) (7.1.2)\n",
            "Installing collected packages: pyyaml, tokenizers, sacremoses, huggingface-hub, transformers\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "Successfully installed huggingface-hub-0.1.0 pyyaml-6.0 sacremoses-0.0.46 tokenizers-0.10.3 transformers-4.12.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 113
        },
        "id": "imelICHQAipO",
        "outputId": "82dc9f6a-5437-4a3c-8b81-7682f9924c86"
      },
      "source": [
        "from PIL import Image\n",
        "import requests\n",
        "\n",
        "from transformers import AutoFeatureExtractor, DeiTForImageClassificationWithTeacher\n",
        "from PIL import Image\n",
        "import requests\n",
        "\n",
        "url = 'http://images.cocodataset.org/val2017/000000039769.jpg'\n",
        "image = Image.open(requests.get(url, stream=True).raw)\n",
        "\n",
        "feature_extractor = AutoFeatureExtractor.from_pretrained('facebook/deit-base-distilled-patch16-224')\n",
        "model = DeiTForImageClassificationWithTeacher.from_pretrained('facebook/deit-base-distilled-patch16-224')\n",
        "\n",
        "\n",
        "\n",
        "inputs = feature_extractor(images=image, return_tensors=\"pt\")\n",
        "outputs = model(**inputs)\n",
        "logits = outputs.logits\n",
        "# model predicts one of the 1000 ImageNet classes\n",
        "predicted_class_idx = logits.argmax(-1).item()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "2955ae5526a443baa30a3b1c72f5b864",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/68.0k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "cd773de3c64d4ea893d7759bba231391",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/287 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "a2acf7b6abd440a3bc92a5146b29a54c",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading:   0%|          | 0.00/333M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-qht9Ct_B0CG"
      },
      "source": [
        "def pred(url):\n",
        "  image = Image.open(requests.get(url, stream=True).raw)\n",
        "  inputs = feature_extractor(images=image, return_tensors=\"pt\")\n",
        "  outputs = model(**inputs)\n",
        "  logits = outputs.logits\n",
        "  # model predicts one of the 1000 ImageNet classes\n",
        "  predicted_class_idx = logits.argmax(-1).item()\n",
        "  return model.config.id2label[predicted_class_idx]\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "WG4w2sc5A6rf",
        "outputId": "64cb077e-665e-4634-fc08-ee8706f72585"
      },
      "source": [
        "pred(url)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'tabby, tabby cat'"
            ]
          },
          "execution_count": 95,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KUl8DytFCVGW"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "id": "Ub8RZT81CVQj",
        "outputId": "51470e14-4145-4a26-d17b-343c22435c43"
      },
      "source": [
        "df_small=df.head(5)\n",
        "df_small"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>source_url</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>favorite</th>\n",
              "      <th>geo</th>\n",
              "      <th>user</th>\n",
              "      <th>created_at</th>\n",
              "      <th>profile_image</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Watching #SquidGames made me reevaluate the pe...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Dime Jones</td>\n",
              "      <td>2021-11-04 12:43:43</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455561309...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>#confession As a kid, I thought the Holocaust ...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Yagdil Isn't Brisk</td>\n",
              "      <td>2021-11-04 12:41:31</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1330390980...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>RT @CheezieMcfresh1: Welcome To The Squid Game...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>SteamRolla Frevola</td>\n",
              "      <td>2021-11-04 12:37:34</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1391009731...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>RT @enstatia: Seems like everyone has already ...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>48</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Scarif Vacation</td>\n",
              "      <td>2021-11-04 12:31:02</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1451871493...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Squid Game #squidgames S01 | E05 check  https:...</td>\n",
              "      <td>TV Time, TV show tracker</td>\n",
              "      <td>https://www.tvtime.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Doublle Addict 📺</td>\n",
              "      <td>2021-11-04 12:26:04</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1163228638...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                text  ...                                      profile_image\n",
              "0  Watching #SquidGames made me reevaluate the pe...  ...  http://pbs.twimg.com/profile_images/1455561309...\n",
              "1  #confession As a kid, I thought the Holocaust ...  ...  http://pbs.twimg.com/profile_images/1330390980...\n",
              "2  RT @CheezieMcfresh1: Welcome To The Squid Game...  ...  http://pbs.twimg.com/profile_images/1391009731...\n",
              "3  RT @enstatia: Seems like everyone has already ...  ...  http://pbs.twimg.com/profile_images/1451871493...\n",
              "4  Squid Game #squidgames S01 | E05 check  https:...  ...  http://pbs.twimg.com/profile_images/1163228638...\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "execution_count": 85,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yOpMuIfWBrDj",
        "outputId": "e8cee67f-2168-4c74-a8b2-28472fa56e99"
      },
      "source": [
        "df_small[\"profile_pred\"]=df_small.profile_image.map(lambda x: pred(x))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 438
        },
        "id": "y-vOf0KaBtnC",
        "outputId": "7bc8c202-b0d1-4195-d4a3-940e16acdd46"
      },
      "source": [
        "df_small"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>source</th>\n",
              "      <th>source_url</th>\n",
              "      <th>retweet_count</th>\n",
              "      <th>favorite</th>\n",
              "      <th>geo</th>\n",
              "      <th>user</th>\n",
              "      <th>created_at</th>\n",
              "      <th>profile_image</th>\n",
              "      <th>profile_pred</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Watching #SquidGames made me reevaluate the pe...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Dime Jones</td>\n",
              "      <td>2021-11-04 12:43:43</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1455561309...</td>\n",
              "      <td>Band Aid</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>#confession As a kid, I thought the Holocaust ...</td>\n",
              "      <td>Twitter for Android</td>\n",
              "      <td>http://twitter.com/download/android</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Yagdil Isn't Brisk</td>\n",
              "      <td>2021-11-04 12:41:31</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1330390980...</td>\n",
              "      <td>Windsor tie</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>RT @CheezieMcfresh1: Welcome To The Squid Game...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>SteamRolla Frevola</td>\n",
              "      <td>2021-11-04 12:37:34</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1391009731...</td>\n",
              "      <td>punching bag, punch bag, punching ball, punchball</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>RT @enstatia: Seems like everyone has already ...</td>\n",
              "      <td>Twitter for iPhone</td>\n",
              "      <td>http://twitter.com/download/iphone</td>\n",
              "      <td>48</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Scarif Vacation</td>\n",
              "      <td>2021-11-04 12:31:02</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1451871493...</td>\n",
              "      <td>safety pin</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Squid Game #squidgames S01 | E05 check  https:...</td>\n",
              "      <td>TV Time, TV show tracker</td>\n",
              "      <td>https://www.tvtime.com</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>None</td>\n",
              "      <td>Doublle Addict 📺</td>\n",
              "      <td>2021-11-04 12:26:04</td>\n",
              "      <td>http://pbs.twimg.com/profile_images/1163228638...</td>\n",
              "      <td>oboe, hautboy, hautbois</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                text  ...                                       profile_pred\n",
              "0  Watching #SquidGames made me reevaluate the pe...  ...                                           Band Aid\n",
              "1  #confession As a kid, I thought the Holocaust ...  ...                                        Windsor tie\n",
              "2  RT @CheezieMcfresh1: Welcome To The Squid Game...  ...  punching bag, punch bag, punching ball, punchball\n",
              "3  RT @enstatia: Seems like everyone has already ...  ...                                         safety pin\n",
              "4  Squid Game #squidgames S01 | E05 check  https:...  ...                            oboe, hautboy, hautbois\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "execution_count": 87,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ge5f-QAyCeXF",
        "outputId": "33b39061-3df2-4d20-c703-bf9b36d0c062"
      },
      "source": [
        "list(df_small.profile_image)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['http://pbs.twimg.com/profile_images/1455561309093834760/QzLDQXk2_normal.jpg',\n",
              " 'http://pbs.twimg.com/profile_images/1330390980210667521/Q3wUPNn3_normal.jpg',\n",
              " 'http://pbs.twimg.com/profile_images/1391009731230248962/mJJKUybz_normal.jpg',\n",
              " 'http://pbs.twimg.com/profile_images/1451871493638561794/ijNtPfae_normal.jpg',\n",
              " 'http://pbs.twimg.com/profile_images/1163228638382317569/D9LZ7l8E_normal.jpg']"
            ]
          },
          "execution_count": 88,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VvobGDxmCj2I"
      },
      "source": [
        "myurl=\"https://www.bilgi.edu.tr/media/uploads/resume/profile/520-tr.jpg\"\n",
        "myurl2=\"https://miro.medium.com/fit/c/262/262/1*ZDd1PRY4W1JlRNds79r6bw.png\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "PiD3dmdzDMIr",
        "outputId": "e55ce738-75c8-476b-8296-68f404e1900f"
      },
      "source": [
        "pred(myurl2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'lab coat, laboratory coat'"
            ]
          },
          "execution_count": 99,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FRxZIocHDNwp"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}