cleaning_ipynb의_사본.ipynb

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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/tlsgptj/CJONs/blob/main/cleaning_ipynb%EC%9D%98_%EC%82%AC%EB%B3%B8.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pTM_HJXVd0lN",
        "outputId": "533fdbb4-9002-4d8f-9997-4049a929980b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Python 3.10.6\n"
          ]
        }
      ],
      "source": [
        "# 파이썬 버전 확인\n",
        "!python --version"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**0. 필요한 패키지 설치**"
      ],
      "metadata": {
        "id": "Ub6_Tg-FkQjH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install wordcloud\n",
        "!pip install transformers"
      ],
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        },
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      },
      "execution_count": null,
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          "name": "stdout",
          "text": [
            "Requirement already satisfied: wordcloud in /usr/local/lib/python3.10/dist-packages (1.8.2.2)\n",
            "Requirement already satisfied: numpy>=1.6.1 in /usr/local/lib/python3.10/dist-packages (from wordcloud) (1.25.2)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (from wordcloud) (9.4.0)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from wordcloud) (3.7.1)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->wordcloud) (1.1.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->wordcloud) (0.11.0)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->wordcloud) (4.41.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->wordcloud) (1.4.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->wordcloud) (23.1)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->wordcloud) (3.1.0)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->wordcloud) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib->wordcloud) (1.16.0)\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.31.0)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.14.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.16.4)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2022.10.31)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.27.1)\n",
            "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.13.3)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.3.1)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.65.0)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.7.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (1.26.16)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.7.22)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**1. 전처리 및 분석**"
      ],
      "metadata": {
        "id": "l0jwY6BRkl1t"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 필요한 라이브러리 불러오기\n",
        "import pandas as pd\n",
        "import urllib.request"
      ],
      "metadata": {
        "id": "cBmSeT67kZH4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# read_csv() 함수를 사용해 csv파일 읽기\n",
        "df_Rose = pd.read_csv('/content/drive/MyDrive/와인 리뷰/bert 관련/Château La Tour de lÉvêque Pétale de Rosé (Rose).csv', encoding='cp949')"
      ],
      "metadata": {
        "id": "FTQcZWzKkrnX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_Rose.shape #데이터 사이즈 확인"
      ],
      "metadata": {
        "id": "SwrvtqFCmmc5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "592179c8-cab8-48c0-cded-808e0bf75bcf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(753, 2)"
            ]
          },
          "metadata": {},
          "execution_count": 450
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "1-1. 결측치 제거"
      ],
      "metadata": {
        "id": "LVv5RGho8cZc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_Rose.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zrfZ4TSw8Szx",
        "outputId": "3c0d5a58-6fcc-4492-b996-5dbd436bafbc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LABEL-2    0\n",
              "LABEL-3    7\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 451
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_Rose = df_Rose[~df_Rose['LABEL-3'].isnull()]"
      ],
      "metadata": {
        "id": "Q8SxAFUA8mWg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "1-2. 데이터셋에서 영어만 추출"
      ],
      "metadata": {
        "id": "9DRMxZJqAMRB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install git+https://github.com/Artemis1111/lingua-py.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CJq0BL145aAN",
        "outputId": "49e78850-b2da-483a-b578-30abafa7fc46"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/Artemis1111/lingua-py.git\n",
            "  Cloning https://github.com/Artemis1111/lingua-py.git to /tmp/pip-req-build-j7v4tfez\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/Artemis1111/lingua-py.git /tmp/pip-req-build-j7v4tfez\n",
            "  Resolved https://github.com/Artemis1111/lingua-py.git to commit f76c1d3d3fad87e3154d64fa75f03d92ce4463cd\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy<2.0.0,>=1.24.1 in /usr/local/lib/python3.10/dist-packages (from lingua-language-detector==1.3.2) (1.25.2)\n",
            "Requirement already satisfied: regex<2023.0.0,>=2022.10.31 in /usr/local/lib/python3.10/dist-packages (from lingua-language-detector==1.3.2) (2022.10.31)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from lingua import Language, LanguageDetectorBuilder\n",
        "languages = [Language.ENGLISH, Language.FRENCH, Language.GERMAN, Language.SPANISH, Language.RUSSIAN, Language.CHINESE, Language.JAPANESE, Language.KOREAN, Language.PORTUGUESE, Language.ITALIAN]\n",
        "detector = LanguageDetectorBuilder.from_languages(*languages).build()\n",
        "detector.detect_language_of(\"languages are awesome\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LZ41PShxJO5v",
        "outputId": "482dc422-bcc5-49c5-c208-733192e1e0c3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Language.ENGLISH"
            ]
          },
          "metadata": {},
          "execution_count": 454
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def non_eng_remove(df, review_str):\n",
        "  review_revised = []\n",
        "  for review in df[review_str]:\n",
        "    if detector.detect_language_of(review) != Language.ENGLISH:\n",
        "      review = None\n",
        "    review_revised.append(review)\n",
        "  return review_revised"
      ],
      "metadata": {
        "id": "ZOiVEt6N9QJ_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_Rose['LABEL-3'] = non_eng_remove(df_Rose, 'LABEL-3')"
      ],
      "metadata": {
        "id": "T0PWN7Cj3bWj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_Rose.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "efQoXdzZ-PXY",
        "outputId": "8d6549f7-c2a6-4330-dd28-d0eedf5d9df8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LABEL-2      0\n",
              "LABEL-3    423\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 457
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_Rose = df_Rose[~df_Rose['LABEL-3'].isnull()]"
      ],
      "metadata": {
        "id": "LOQ4GESLBi6d"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "1-3. wordcloud 활용하여 리뷰데이터 시각화"
      ],
      "metadata": {
        "id": "w3Y1fsat9le9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 1. 필요한 모듈 불러오기\n",
        "from wordcloud import WordCloud, STOPWORDS\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib import rc\n",
        "import re"
      ],
      "metadata": {
        "id": "kPHUm84o9Gly"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_Rose['LABEL-3']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z1NtcCHbILn6",
        "outputId": "886d344f-e610-4d48-f5a6-3b1d54e99650"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      6 grapes mix. ???? delicate but rich bitter-sw...\n",
              "1                   Refreshing, acidic, strawberry notes\n",
              "2      I really enjoyed this Ros?, very delicate and ...\n",
              "3      Medium nose intensity of strawberry violet  ro...\n",
              "4      Who would have thought? Rose petal on the nose...\n",
              "                             ...                        \n",
              "730                                            Favourite\n",
              "732                                         Awesome Rose\n",
              "733                                          Nail polish\n",
              "736                                               Biting\n",
              "742                                    It's undrinkable.\n",
              "Name: LABEL-3, Length: 323, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 460
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 2. Stopwords 및 특수문자 필터링을 위한 준비\n",
        "\n",
        "comment_words = ''\n",
        "stopwords = set(STOPWORDS)\n",
        "\n",
        "tokenized_text = []\n",
        "\n",
        "# 3. 문장 데이터를 단어화하기\n",
        "for val in df_Rose[\"LABEL-3\"]:\n",
        "\n",
        "  # 문장을 string으로 만들기\n",
        "  val = str(val)\n",
        "\n",
        "  # 문장을 소문자로 바꾸기\n",
        "  val = val.lower()\n",
        "\n",
        "  #문장 속 문장부호 지우기\n",
        "  val = re.sub(r'[!\"#$%&\\'()*+,-./:;<=>?@\\[\\]^_\\`{|}~\\\\\\\\]','', val)\n",
        "\n",
        "  # 문장을 쪼개기\n",
        "  tokens = val.split()\n",
        "\n",
        "  tokenized_text.append(tokens)\n",
        "  comment_words += \" \".join(tokens) + \" \"\n",
        "\n",
        "wordcloud = WordCloud(width = 800, height = 800,\n",
        "                background_color ='white',\n",
        "                stopwords = stopwords,\n",
        "                min_font_size = 10).generate(comment_words)\n",
        "\n",
        "# plot the WordCloud image\n",
        "plt.figure(figsize = (8, 8), facecolor = None)\n",
        "plt.imshow(wordcloud)\n",
        "plt.axis(\"off\")\n",
        "plt.tight_layout(pad = 0)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 836
        },
        "id": "YIyArxNz-FHa",
        "outputId": "1b83a6b0-9671-4683-b9f7-67125d1bf291"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 필터링할 추가적인 stopwords들 정의\n",
        "\n",
        "stopwords_Rose = [\"rose\", 'wine', 'good', 'nice', 'nose', 'really', 'first', 'great', 'little',\n",
        "                  'high', 'easy', 'top', 'color', 'long', 'tasty', 'excellent', 'ros', 'very', 'notes',\n",
        "                  'taste', 'colour', 'still', 'one', 'well', 'roses', 'perfect', 'drink', 'aftertaste',\n",
        "                  'value'\n",
        "]\n",
        "stopwords_name = ['provence'\n",
        "]"
      ],
      "metadata": {
        "id": "vW_VOQou---5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 토큰화된 문장확인\n",
        "tokenized_text[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UGDhYNN4_QIp",
        "outputId": "c64e4305-4dd8-4e92-fcf5-dd3c6b29c954"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['6',\n",
              " 'grapes',\n",
              " 'mix',\n",
              " 'delicate',\n",
              " 'but',\n",
              " 'rich',\n",
              " 'bittersweet',\n",
              " 'strawberry',\n",
              " 'l',\n",
              " 'acidity']"
            ]
          },
          "metadata": {},
          "execution_count": 463
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def filter_stopwords(tokenized_text, stopwords_2, stopword_3):\n",
        "  tokenized_filtered = []\n",
        "\n",
        "  for i in tokenized_text:\n",
        "    for word in i:\n",
        "      if word not in stopwords and word not in stopwords_2 and word not in stopword_3:\n",
        "        tokenized_filtered.append(word)\n",
        "\n",
        "  return tokenized_filtered"
      ],
      "metadata": {
        "id": "wUFtOxEt-zt3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(tokenized_text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oJHNIaYS_RnE",
        "outputId": "98c3ddc8-2154-4b10-835d-29a0949fc2a9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "323"
            ]
          },
          "metadata": {},
          "execution_count": 465
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tokenized_filtered = filter_stopwords(tokenized_text, stopwords_Rose, stopwords_name)"
      ],
      "metadata": {
        "id": "1yodGmV3-5fz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 필터링 되었는지 확인\n",
        "tokenized_filtered[0:10]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LApY2qEE_OFr",
        "outputId": "0f001cce-e08c-42f3-ff57-56c80067f66f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['6',\n",
              " 'grapes',\n",
              " 'mix',\n",
              " 'delicate',\n",
              " 'rich',\n",
              " 'bittersweet',\n",
              " 'strawberry',\n",
              " 'l',\n",
              " 'acidity',\n",
              " 'refreshing']"
            ]
          },
          "metadata": {},
          "execution_count": 467
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(tokenized_filtered)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kcHDlGiJ_TLQ",
        "outputId": "4b34a949-3e4c-4196-ec25-2c35161a80eb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2264"
            ]
          },
          "metadata": {},
          "execution_count": 468
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import operator\n",
        "\n",
        "def word_count(tokenized_data):\n",
        "  word_counter = {}\n",
        "\n",
        "  for i in tokenized_data:\n",
        "    if i in word_counter.keys():\n",
        "      word_counter[i] += 1\n",
        "    else:\n",
        "      word_counter[i] = 1\n",
        "\n",
        "  # 많이 나온 순서대로 정렬\n",
        "\n",
        "  sorted_dict = dict( sorted(word_counter.items(),\n",
        "                           key=operator.itemgetter(1), reverse=True))\n",
        "\n",
        "  return sorted_dict"
      ],
      "metadata": {
        "id": "NrKIiUWH_Uz5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tokenized_dict = word_count(tokenized_filtered)"
      ],
      "metadata": {
        "id": "OADZz1pD_XEi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 가장 상위 20개의 단어 보기\n",
        "def top_20(tokenized_dict):\n",
        "  top_20_words = list(tokenized_dict.items())[:20]\n",
        "  return top_20_words\n",
        "\n",
        "top_20(tokenized_dict)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1Xi76HJ5_YEb",
        "outputId": "e5e3d833-3128-4906-b0d5-89b90deb583e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('dry', 60),\n",
              " ('strawberry', 57),\n",
              " ('acidity', 45),\n",
              " ('light', 43),\n",
              " ('medium', 36),\n",
              " ('sweet', 28),\n",
              " ('citrus', 27),\n",
              " ('floral', 25),\n",
              " ('smooth', 25),\n",
              " ('peach', 24),\n",
              " ('fruity', 24),\n",
              " ('pink', 23),\n",
              " ('red', 22),\n",
              " ('fruit', 22),\n",
              " ('crisp', 21),\n",
              " ('refreshing', 20),\n",
              " ('summer', 20),\n",
              " ('pale', 20),\n",
              " ('palate', 19),\n",
              " ('grapefruit', 18)]"
            ]
          },
          "metadata": {},
          "execution_count": 471
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "wc = WordCloud(background_color=\"white\", min_font_size=10)\n",
        "cloud = wc.generate_from_frequencies(tokenized_dict)\n",
        "\n",
        "\n",
        "plt.figure(figsize=(10, 8))\n",
        "plt.axis('off')\n",
        "plt.imshow(cloud)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "bxCKjCncDJWh",
        "outputId": "3fe6a29c-1666-4e67-b9e4-0796c367ba2f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "2. 모델링\n",
        "2.1  모델링을 위한 준비\n",
        "BERT 준비"
      ],
      "metadata": {
        "id": "kFTdFyQaX7oC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Bert 사용에 필요한 모듈 불러오기\n",
        "import torch\n",
        "\n",
        "from transformers import BertTokenizer\n",
        "from transformers import BertForSequenceClassification, AdamW, Adafactor, BertConfig\n",
        "from transformers import get_linear_schedule_with_warmup\n",
        "from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler\n",
        "from keras.utils import pad_sequences\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import random\n",
        "import time\n",
        "import datetime"
      ],
      "metadata": {
        "id": "dapN0KDcDgRq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# BERT에 맞는 Tag 달아주기\n",
        "bert_text = []\n",
        "\n",
        "for i in ['']:\n",
        "  bert = [\"[CLS] \" + str(i) + \" [SEP]\"]\n",
        "  bert_text.append(bert)\n",
        "\n",
        "bert_text[:5]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eB4JiLRLYO2R",
        "outputId": "657e95ba-55db-4b8b-dd61-cae2ba9bd3c5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['[CLS]  [SEP]']]"
            ]
          },
          "metadata": {},
          "execution_count": 474
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install sentencepiece transformers[sentencepiece]"
      ],
      "metadata": {
        "id": "_YWmvkUEfHQ2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dc5be921-29dd-46d8-a7e5-6b25c2b731ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.1.99)\n",
            "Collecting transformers[sentencepiece]\n",
            "  Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
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            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers[sentencepiece])\n",
            "  Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
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            "Installing collected packages: tokenizers, safetensors, huggingface-hub, transformers\n",
            "Successfully installed huggingface-hub-0.16.4 safetensors-0.3.1 tokenizers-0.13.3 transformers-4.31.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import AutoModelForMaskedLM, AutoTokenizer\n",
        "model_name = \"bert-base-multilingual-cased\"\n",
        "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
        "model = AutoModelForMaskedLM.from_pretrained(model_name)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 251,
          "referenced_widgets": [
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            "015e9969ef224bc9a1a172601b8e2136",
            "9a34e57d78bc4e0fb859ce1b2c20655e",
            "162b007282334defa68e63dcfd25c8c4",
            "d414ef3e2ac443d28c798124a90c57b2",
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            "ddc1b8eec56647a981af2054ef8e16d9",
            "7e6ee5d731984ee8a27cc333d8876694",
            "a3b393c6f4c047f59a44892212d8dbeb",
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            "bf770db764284646a98d7cf45b81544a",
            "05ed26300b2848709f15e1f4ce753354",
            "147ae39cf55145cabd5e566f6fafafe0",
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            "9bfc41f364674d06bd273b727250a0f5",
            "d19d473b22f6441a8776282ac53b4145",
            "135798071a5e40abb992ebdd9af76ae2",
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            "7f32ea0394d44ab79e87415b2bb273ef",
            "6c44ede783a944abb614b9484a7aae37",
            "73e87e124ee74b6e8f0a1ba0cb14a1f3",
            "2b1187bc27484d27be7705e6b614e7cd",
            "f95fc13193d040c6a78aea3850cf1db2",
            "f1a568dc7b39404c8503d173f2fb0029",
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            "9e148cfad6464b6b94bd56c77179fa97",
            "faf5702d9daa4d6d905126375ad9423c",
            "76ed44b8097c44409c98916a906454ea",
            "cc16bdf26cd644cba7eabd37840c0274",
            "ad91b1b6384843f287764a5210017089"
          ]
        },
        "id": "Mx2qkN7FlYSu",
        "outputId": "984a99d5-92e4-4426-f914-fe54788325e6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)okenizer_config.json:   0%|          | 0.00/29.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a42f150dcef8454f8d6de56ba766f049"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)lve/main/config.json:   0%|          | 0.00/625 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "19bd86dc16a44bc1b4f5fc4d8fded96a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/996k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "05ed26300b2848709f15e1f4ce753354"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/1.96M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e1daca1460554d468d609717ba8c6f91"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading model.safetensors:   0%|          | 0.00/714M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "73e87e124ee74b6e8f0a1ba0cb14a1f3"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of the model checkpoint at bert-base-multilingual-cased were not used when initializing BertForMaskedLM: ['bert.pooler.dense.weight', 'cls.seq_relationship.bias', 'cls.seq_relationship.weight', 'bert.pooler.dense.bias']\n",
            "- This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "tqwrdHQRoMiF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "from torch.utils.data import DataLoader, Dataset\n",
        "\n",
        "# 가상의 데이터셋 (라벨링된 데이터셋이 필요합니다)\n",
        "data = [\n",
        "    (\"This wine is delicious!\", 1),\n",
        "    (\"I didn't like the taste of this wine.\", 0),\n",
        "\n",
        "]\n",
        "\n",
        "class WineSentimentDataset(Dataset):\n",
        "    def __init__(self, data):\n",
        "        self.data = data\n",
        "        self.tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.data)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        text, label = self.data[idx]\n",
        "        inputs = self.tokenizer(text, padding='max_length', truncation=True, max_length=128, return_tensors='pt')\n",
        "        label = torch.tensor(label)\n",
        "        return inputs, label\n",
        "\n",
        "# 모델 정의\n",
        "class WineSentimentClassifier(nn.Module):\n",
        "    def __init__(self, num_labels):\n",
        "        super(WineSentimentClassifier, self).__init__()\n",
        "        self.bert = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=num_labels)\n",
        "\n",
        "    def forward(self, inputs):\n",
        "        outputs = self.bert(**inputs)\n",
        "        return outputs.logits\n",
        "\n",
        "# 데이터셋과 모델 준비\n",
        "wine_sentiment_dataset = WineSentimentDataset(data)\n",
        "train_loader = DataLoader(wine_sentiment_dataset, batch_size=8, shuffle=True)\n",
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "model = WineSentimentClassifier(num_labels=2).to(device)\n",
        "\n",
        "# Loss 함수와 Optimizer 정의\n",
        "criterion = nn.CrossEntropyLoss()\n",
        "optimizer = optim.AdamW(model.parameters(), lr=2e-5)\n",
        "\n",
        "# 학습\n",
        "NUM_EPOCHS = 10\n",
        "for epoch in range(NUM_EPOCHS):\n",
        "    model.train()\n",
        "    for inputs, labels in train_loader:\n",
        "        inputs = {k: v.to(device) for k, v in inputs.items()}\n",
        "        labels = labels.to(device)\n",
        "\n",
        "        optimizer.zero_grad()\n",
        "        outputs = model(inputs)\n",
        "        loss = criterion(outputs.view(-1, 2), labels)\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "\n",
        "# 감정분석 함수 정의\n",
        "def wine_sentiment_analysis(text):\n",
        "    model.eval()\n",
        "    inputs = tokenizer(text, padding='max_length', truncation=True, max_length=128, return_tensors='pt')\n",
        "    inputs = {k: v.to(device) for k, v in inputs.items()}\n",
        "    with torch.no_grad():\n",
        "        outputs = model(inputs)\n",
        "    logits = outputs.logits\n",
        "    predicted_label = torch.argmax(logits).item()\n",
        "    return \"Positive\" if predicted_label == 1 else \"Negative\"\n",
        "\n",
        "# 감정분석 예시\n",
        "text1 = \"This wine is amazing!\"\n",
        "text2 = \"The taste of this wine is terrible.\"\n",
        "print(wine_sentiment_analysis(text1))  # Output: \"Positive\"\n",
        "print(wine_sentiment_analysis(text2))  # Output: \"Negative\"\n"
      ],
      "metadata": {
        "id": "SdaCceDxltay"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "df = pd.read_excel(\"/content/Tenuta Romana Soliditas.xlsx\")"
      ],
      "metadata": {
        "id": "ue8AokKqpBkS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "c9jDQUndpgHG",
        "outputId": "bfb392d3-d57e-41f2-b53a-6ae21af45633"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Score                                             Review  \\\n",
              "0      4.0  Peat and cherry vanilla on the nose. Light, si...   \n",
              "1      4.0  For the price, quite good. Expressive and expl...   \n",
              "2      4.0  Always an enjoyable pour. Warm notes of cocoa,...   \n",
              "3      4.0  3.75.  Medium body, garnet color,  cherry on t...   \n",
              "4      4.0  Wonderful value for money. The best choice for...   \n",
              "..     ...                                                ...   \n",
              "485    4.0                                 Semi dry red wine.   \n",
              "486    4.0  Lovely, smooth and fruity. Really yummy to dri...   \n",
              "487    4.0  Smoky, good with food not a wine to potter abo...   \n",
              "488    3.8                           Plum, grape, pomegranate   \n",
              "489    4.0      Easy to drink. Dry but smooth. Very balanced.   \n",
              "\n",
              "                                 Rating  \n",
              "0          Warren Lapine (2140 ratings)  \n",
              "1    Christiaan Ketelaar (1149 ratings)  \n",
              "2          Brett Barthlow (984 ratings)  \n",
              "3          Michael Polyak (492 ratings)  \n",
              "4                   Orfeo (602 ratings)  \n",
              "..                                  ...  \n",
              "485         Maksym Keplin (246 ratings)  \n",
              "486         Xerxes Sethna (201 ratings)  \n",
              "487                 J R B (368 ratings)  \n",
              "488          James Martin (287 ratings)  \n",
              "489        Michelle Cohen (683 ratings)  \n",
              "\n",
              "[490 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "\n",
              "  <div id=\"df-30c5ca6b-8530-409f-b429-b2f6af82ed6a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Score</th>\n",
              "      <th>Review</th>\n",
              "      <th>Rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Peat and cherry vanilla on the nose. Light, si...</td>\n",
              "      <td>Warren Lapine (2140 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.0</td>\n",
              "      <td>For the price, quite good. Expressive and expl...</td>\n",
              "      <td>Christiaan Ketelaar (1149 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Always an enjoyable pour. Warm notes of cocoa,...</td>\n",
              "      <td>Brett Barthlow (984 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.0</td>\n",
              "      <td>3.75.  Medium body, garnet color,  cherry on t...</td>\n",
              "      <td>Michael Polyak (492 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Wonderful value for money. The best choice for...</td>\n",
              "      <td>Orfeo (602 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>485</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Semi dry red wine.</td>\n",
              "      <td>Maksym Keplin (246 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Lovely, smooth and fruity. Really yummy to dri...</td>\n",
              "      <td>Xerxes Sethna (201 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>487</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Smoky, good with food not a wine to potter abo...</td>\n",
              "      <td>J R B (368 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>488</th>\n",
              "      <td>3.8</td>\n",
              "      <td>Plum, grape, pomegranate</td>\n",
              "      <td>James Martin (287 ratings)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Easy to drink. Dry but smooth. Very balanced.</td>\n",
              "      <td>Michelle Cohen (683 ratings)</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>490 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-30c5ca6b-8530-409f-b429-b2f6af82ed6a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-2add93b8-24bb-4e4f-bf97-42379e95caec\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2add93b8-24bb-4e4f-bf97-42379e95caec')\"\n",
              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "    <script>\n",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-2add93b8-24bb-4e4f-bf97-42379e95caec button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-30c5ca6b-8530-409f-b429-b2f6af82ed6a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-30c5ca6b-8530-409f-b429-b2f6af82ed6a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# 엑셀 파일 읽어오기\n",
        "file_path = '/content/Tenuta Romana Soliditas.xlsx'\n",
        "df = pd.read_excel(file_path)\n",
        "\n",
        "# 괄호 안에 있는 부분 나누기\n",
        "df['Ratings'] = df['Rating'].str.extract(r'\\((\\d+)\\sratings\\)')\n",
        "df['Rating'] = df['Rating'].str.replace(r'\\s\\(\\d+\\sratings\\)', '')\n",
        "\n",
        "# 결과 출력\n",
        "print(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nj30VPrzphK8",
        "outputId": "de278b20-72ae-40a7-8093-a09ee4540cfd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "     Score                                             Review  \\\n",
            "0      4.0  Peat and cherry vanilla on the nose. Light, si...   \n",
            "1      4.0  For the price, quite good. Expressive and expl...   \n",
            "2      4.0  Always an enjoyable pour. Warm notes of cocoa,...   \n",
            "3      4.0  3.75.  Medium body, garnet color,  cherry on t...   \n",
            "4      4.0  Wonderful value for money. The best choice for...   \n",
            "..     ...                                                ...   \n",
            "485    4.0                                 Semi dry red wine.   \n",
            "486    4.0  Lovely, smooth and fruity. Really yummy to dri...   \n",
            "487    4.0  Smoky, good with food not a wine to potter abo...   \n",
            "488    3.8                           Plum, grape, pomegranate   \n",
            "489    4.0      Easy to drink. Dry but smooth. Very balanced.   \n",
            "\n",
            "                  Rating Ratings  \n",
            "0          Warren Lapine    2140  \n",
            "1    Christiaan Ketelaar    1149  \n",
            "2         Brett Barthlow     984  \n",
            "3         Michael Polyak     492  \n",
            "4                  Orfeo     602  \n",
            "..                   ...     ...  \n",
            "485        Maksym Keplin     246  \n",
            "486        Xerxes Sethna     201  \n",
            "487                J R B     368  \n",
            "488         James Martin     287  \n",
            "489       Michelle Cohen     683  \n",
            "\n",
            "[490 rows x 4 columns]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-6-b1442acca639>:9: FutureWarning: The default value of regex will change from True to False in a future version.\n",
            "  df['Rating'] = df['Rating'].str.replace(r'\\s\\(\\d+\\sratings\\)', '')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "RW3zlDCdqFkB",
        "outputId": "c55d2daf-0bdc-4058-ae6a-a62dd208628d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Score                                             Review  \\\n",
              "0      4.0  Peat and cherry vanilla on the nose. Light, si...   \n",
              "1      4.0  For the price, quite good. Expressive and expl...   \n",
              "2      4.0  Always an enjoyable pour. Warm notes of cocoa,...   \n",
              "3      4.0  3.75.  Medium body, garnet color,  cherry on t...   \n",
              "4      4.0  Wonderful value for money. The best choice for...   \n",
              "..     ...                                                ...   \n",
              "485    4.0                                 Semi dry red wine.   \n",
              "486    4.0  Lovely, smooth and fruity. Really yummy to dri...   \n",
              "487    4.0  Smoky, good with food not a wine to potter abo...   \n",
              "488    3.8                           Plum, grape, pomegranate   \n",
              "489    4.0      Easy to drink. Dry but smooth. Very balanced.   \n",
              "\n",
              "                  Rating Ratings  \n",
              "0          Warren Lapine    2140  \n",
              "1    Christiaan Ketelaar    1149  \n",
              "2         Brett Barthlow     984  \n",
              "3         Michael Polyak     492  \n",
              "4                  Orfeo     602  \n",
              "..                   ...     ...  \n",
              "485        Maksym Keplin     246  \n",
              "486        Xerxes Sethna     201  \n",
              "487                J R B     368  \n",
              "488         James Martin     287  \n",
              "489       Michelle Cohen     683  \n",
              "\n",
              "[490 rows x 4 columns]"
            ],
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              "      <td>For the price, quite good. Expressive and expl...</td>\n",
              "      <td>Christiaan Ketelaar</td>\n",
              "      <td>1149</td>\n",
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              "    <tr>\n",
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              "      <td>4.0</td>\n",
              "      <td>Always an enjoyable pour. Warm notes of cocoa,...</td>\n",
              "      <td>Brett Barthlow</td>\n",
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              "      <td>4.0</td>\n",
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              "    <tr>\n",
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              "      <th>...</th>\n",
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              "      <td>Maksym Keplin</td>\n",
              "      <td>246</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Lovely, smooth and fruity. Really yummy to dri...</td>\n",
              "      <td>Xerxes Sethna</td>\n",
              "      <td>201</td>\n",
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              "      <td>4.0</td>\n",
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              "      <td>J R B</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>488</th>\n",
              "      <td>3.8</td>\n",
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              "      <td>James Martin</td>\n",
              "      <td>287</td>\n",
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              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Easy to drink. Dry but smooth. Very balanced.</td>\n",
              "      <td>Michelle Cohen</td>\n",
              "      <td>683</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>490 rows × 4 columns</p>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-17e6fa0a-1fcc-42bf-aee4-f01b119217de')\"\n",
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              "    </g>\n",
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              "      </button>\n",
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              "    width: 32px;\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "  [theme=dark] .colab-df-quickchart:hover {\n",
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              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
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              "      flex-wrap:wrap;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-17e6fa0a-1fcc-42bf-aee4-f01b119217de button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-17e6fa0a-1fcc-42bf-aee4-f01b119217de');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.to_csv(\"red.csv\", index=False)"
      ],
      "metadata": {
        "id": "pTvDcJhBxcNs"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "\n",
        "# 파일 다운로드 링크 생성\n",
        "files.download(file_path)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "bMOCRYGOxvyI",
        "outputId": "71a2e5ae-a31d-47bc-8bc5-be561ca50f63"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_f671c51a-af9a-40e7-aa11-ea749067f586\", \"Tenuta Romana Soliditas.xlsx\", 51313)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from wordcloud import WordCloud\n",
        "\n",
        "# Set up the word cloud parameters\n",
        "wordcloud = WordCloud(width=800, height=400,\n",
        "                      background_color='white',\n",
        "                      colormap='viridis',\n",
        "                      min_font_size=10,\n",
        "                      max_words=200,\n",
        "                      collocations=False)"
      ],
      "metadata": {
        "id": "zZnxZly0r8ec"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import nltk\n",
        "import numpy as np\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.tokenize import word_tokenize\n",
        "df[\"Review\"] = df[\"Review\"].apply(lambda x: word_tokenize(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 395
        },
        "id": "2PaDS5yVtBCr",
        "outputId": "67b31887-6c8f-4860-e691-16f3684955f7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-28-7ed0bf529114>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcorpus\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mstopwords\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtokenize\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mword_tokenize\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Review\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Review\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mword_tokenize\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[0;32m/usr/local/lib/python3.10/dist-packages/nltk/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m    131\u001b[0m \u001b[0;31m# Import top-level functionality into top-level namespace\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 133\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcollocations\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    134\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecorators\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdecorator\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemoize\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    135\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfeatstruct\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/nltk/collocations.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     34\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;31m# these two unused imports are referenced in collocations.doctest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 36\u001b[0;31m from nltk.metrics import (\n\u001b[0m\u001b[1;32m     37\u001b[0m     \u001b[0mBigramAssocMeasures\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     38\u001b[0m     \u001b[0mContingencyMeasures\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/nltk/metrics/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0magreement\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mAnnotationTask\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maline\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0malign\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m from nltk.metrics.association import (\n\u001b[0m\u001b[1;32m     19\u001b[0m     \u001b[0mBigramAssocMeasures\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m     \u001b[0mContingencyMeasures\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/nltk/metrics/association.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     24\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m     \u001b[0;32mfrom\u001b[0m \u001b[0mscipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstats\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mfisher_exact\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mImportError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/scipy/stats/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m    483\u001b[0m from ._warnings_errors import (ConstantInputWarning, NearConstantInputWarning,\n\u001b[1;32m    484\u001b[0m                                DegenerateDataWarning, FitError)\n\u001b[0;32m--> 485\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0m_stats_py\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    486\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0m_variation\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mvariation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    487\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mdistributions\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/scipy/stats/_stats_py.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mma\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlib\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mNumpyVersion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 37\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtesting\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0msuppress_warnings\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     38\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     39\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mscipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mspatial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdistance\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcdist\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/numpy/testing/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0m_private\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0m_private\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0m_private\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0m_assert_valid_refcount\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_gen_alignment_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0m_private\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mextbuild\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/numpy/testing/_private/utils.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m    411\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    412\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 413\u001b[0;31m \u001b[0;34m@\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_no_nep50_warning\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[0m\u001b[1;32m    414\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0massert_almost_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mactual\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdesired\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecimal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m7\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merr_msg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\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    415\u001b[0m     \"\"\"\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/numpy/__init__.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(attr)\u001b[0m\n\u001b[1;32m    313\u001b[0m             \u001b[0;31m# the AttributeError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    314\u001b[0m             warnings.warn(\n\u001b[0;32m--> 315\u001b[0;31m                 \u001b[0;34mf\"In the future `np.{attr}` will be defined as the \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    316\u001b[0m                 \"corresponding NumPy scalar.\", FutureWarning, stacklevel=2)\n\u001b[1;32m    317\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAttributeError\u001b[0m: module 'numpy' has no attribute '_no_nep50_warning'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install numpy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vhaXVWqqtcI7",
        "outputId": "324c5e5e-dd07-4d56-c624-2d8f6ee3a873"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (1.25.2)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install nltk"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1_UY9YG8uB1s",
        "outputId": "1c0de3eb-e341-4d5f-9bf9-87602caa10ce"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (3.8.1)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk) (8.1.6)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk) (1.3.1)\n",
            "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk) (2022.10.31)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from nltk) (4.65.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install numpy==1.20.3"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b1TCLZkfvupn",
        "outputId": "c4a7df33-187e-4b3c-a512-516da8ab5dc0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting numpy==1.20.3\n",
            "  Using cached numpy-1.20.3.zip (7.8 MB)\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Building wheels for collected packages: numpy\n",
            "  \u001b[1;31merror\u001b[0m: \u001b[1msubprocess-exited-with-error\u001b[0m\n",
            "  \n",
            "  \u001b[31m×\u001b[0m \u001b[32mBuilding wheel for numpy \u001b[0m\u001b[1;32m(\u001b[0m\u001b[32mpyproject.toml\u001b[0m\u001b[1;32m)\u001b[0m did not run successfully.\n",
            "  \u001b[31m│\u001b[0m exit code: \u001b[1;36m1\u001b[0m\n",
            "  \u001b[31m╰─>\u001b[0m See above for output.\n",
            "  \n",
            "  \u001b[1;35mnote\u001b[0m: This error originates from a subprocess, and is likely not a problem with pip.\n",
            "  Building wheel for numpy (pyproject.toml) ... \u001b[?25l\u001b[?25herror\n",
            "\u001b[31m  ERROR: Failed building wheel for numpy\u001b[0m\u001b[31m\n",
            "\u001b[0mFailed to build numpy\n",
            "\u001b[31mERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install path/to/numpy-1.20.3-cpXX-cpXX-win_amd64.whl"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YcZ67_1Sv-z9",
        "outputId": "a7449d55-8ced-4161-d7cf-d64b4cd14db9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[33mWARNING: Requirement 'path/to/numpy-1.20.3-cpXX-cpXX-win_amd64.whl' looks like a filename, but the file does not exist\u001b[0m\u001b[33m\n",
            "\u001b[0m\u001b[31mERROR: numpy-1.20.3-cpXX-cpXX-win_amd64.whl is not a supported wheel on this platform.\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install nltk==X.X.X\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S2flbbncxAc7",
        "outputId": "8060736d-a9dd-46b8-a393-5ee255ac85c2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[31mERROR: Could not find a version that satisfies the requirement nltk==X.X.X (from versions: 2.0b8.macosx-10.5-i386, 2.0.1rc1.macosx-10.6-x86_64, 2.0.1rc2-git, 2.0b4, 2.0b5, 2.0b6, 2.0b7, 2.0b8, 2.0b9, 2.0.1rc1, 2.0.1rc3, 2.0.1rc4, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.0.5, 3.0.0b1, 3.0.0b2, 3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.0.4, 3.0.5, 3.1, 3.2, 3.2.1, 3.2.2, 3.2.3, 3.2.4, 3.2.5, 3.3.0, 3.4, 3.4.1, 3.4.2, 3.4.3, 3.4.4, 3.4.5, 3.5b1, 3.5, 3.6, 3.6.1, 3.6.2, 3.6.3, 3.6.4, 3.6.5, 3.6.6, 3.6.7, 3.7, 3.8, 3.8.1)\u001b[0m\u001b[31m\n",
            "\u001b[0m\u001b[31mERROR: No matching distribution found for nltk==X.X.X\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "NWH6FgFBxDZ-"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}