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Natural Language API samples have moved.
See https://github.com/googleapis/nodejs-language.
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circle.yml

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- node scripts/build "error-reporting"
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- node scripts/build "iot/manager"
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- node scripts/build "kms"
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- node scripts/build "language"
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- node scripts/build "language/slackbot"
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- node scripts/build "logging"
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- node scripts/build "monitoring"

language/README.md

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<img src="https://avatars2.githubusercontent.com/u/2810941?v=3&s=96" alt="Google Cloud Platform logo" title="Google Cloud Platform" align="right" height="96" width="96"/>
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Most samples for the [Google Cloud Natural Language API Node.js Client][client]
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have moved to [github.com/googleapis/nodejs-language: samples/][samples].
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# Google Cloud Natural Language API Node.js Samples
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[![Build](https://storage.googleapis.com/cloud-docs-samples-badges/GoogleCloudPlatform/nodejs-docs-samples/nodejs-docs-samples-language.svg)]()
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[Cloud Natural Language API](https://cloud.google.com/natural-language/docs) provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, and syntax analysis. This API is part of the larger Cloud Machine Learning API family.
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## Table of Contents
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* [Setup](#setup)
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* [Samples](#samples)
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* [Analyze v1](#analyze-v1)
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* [Analyze v1beta2](#analyze-v1beta2)
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* [Slack Bot](#slack-bot)
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* [Running the tests](#running-the-tests)
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## Setup
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1. Read [Prerequisites][prereq] and [How to run a sample][run] first.
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1. Install dependencies:
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With **npm**:
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npm install
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With **yarn**:
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yarn install
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[prereq]: ../README.md#prerequisites
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[run]: ../README.md#how-to-run-a-sample
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## Samples
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### Analyze v1
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View the [documentation][analyze-v1_0_docs] or the [source code][analyze-v1_0_code].
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__Usage:__ `node analyze.v1.js --help`
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```
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Commands:
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sentiment-text <text> Detects sentiment of a string.
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sentiment-file <bucketName> <fileName> Detects sentiment in a file in Google Cloud Storage.
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entities-text <text> Detects entities in a string.
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entities-file <bucketName> <fileName> Detects entities in a file in Google Cloud Storage.
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syntax-text <text> Detects syntax of a string.
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syntax-file <bucketName> <fileName> Detects syntax in a file in Google Cloud Storage.
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entity-sentiment-text <text> Detects sentiment of the entities in a string.
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entity-sentiment-file <bucketName> <fileName> Detects sentiment of the entities in a file in Google Cloud Storage.
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Options:
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--help Show help [boolean]
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Examples:
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node analyze.v1.js sentiment-text "President Obama is speaking at the White House."
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node analyze.v1.js sentiment-file my-bucket file.txt Detects sentiment in gs://my-bucket/file.txt
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node analyze.v1.js entities-text "President Obama is speaking at the White House."
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node analyze.v1.js entities-file my-bucket file.txt Detects entities in gs://my-bucket/file.txt
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node analyze.v1.js syntax-text "President Obama is speaking at the White House."
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node analyze.v1.js syntax-file my-bucket file.txt Detects syntax in gs://my-bucket/file.txt
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node analyze.v1.js entity-sentiment-text "President Obama is speaking at the White House."
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node analyze.v1.js entity-sentiment-file my-bucket file.txt Detects sentiment of entities in gs://my-bucket/file.txt
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For more information, see https://cloud.google.com/natural-language/docs
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```
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[analyze-v1_0_docs]: https://cloud.google.com/natural-language/docs/
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[analyze-v1_0_code]: analyze.v1.js
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### Analyze v1beta2
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View the [documentation][analyze-v1beta2_1_docs] or the [source code][analyze-v1beta2_1_code].
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__Usage:__ `node analyze.v1beta2.js --help`
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```
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Commands:
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sentiment-text <text> Detects sentiment of a string.
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sentiment-file <bucketName> <fileName> Detects sentiment in a file in Google Cloud Storage.
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entities-text <text> Detects entities in a string.
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entities-file <bucketName> <fileName> Detects entities in a file in Google Cloud Storage.
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syntax-text <text> Detects syntax of a string.
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syntax-file <bucketName> <fileName> Detects syntax in a file in Google Cloud Storage.
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classify-text <text> Classifies text of a string.
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classify-file <bucketName> <fileName> Classifies text in a file in Google Cloud Storage.
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Options:
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--help Show help [boolean]
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Examples:
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node analyze.v1beta2.js sentiment-text "President Obama is speaking at the White House."
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node analyze.v1beta2.js sentiment-file my-bucket file.txt Detects sentiment in gs://my-bucket/file.txt
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node analyze.v1beta2.js entities-text "President Obama is speaking at the White House."
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node analyze.v1beta2.js entities-file my-bucket file.txt Detects entities in gs://my-bucket/file.txt
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node analyze.v1beta2.js syntax-text "President Obama is speaking at the White House."
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node analyze.v1beta2.js syntax-file my-bucket file.txt Detects syntax in gs://my-bucket/file.txt
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node analyze.v1beta2.js classify-text "Currently the API requires 20 tokens in order \
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to return non-empty results. Let's use a longer piece of text for the sample in order to win."
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node analyze.v1beta2.js classify-file my-bucket Detects syntax in gs://my-bucket/android_text.txt
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android_text.txt
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For more information, see https://cloud.google.com/natural-language/docs
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```
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[analyze-v1beta2_1_docs]: https://cloud.google.com/natural-language/docs/
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[analyze-v1beta2_1_code]: analyze.v1beta2.js
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### Slack Bot
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[client]: https://github.com/googleapis/nodejs-language
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[samples]: https://github.com/googleapis/nodejs-language/tree/master/samples
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### Slack Bot sample
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View the [README](slackbot/README.md).
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## Running the tests
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1. Set the **GCLOUD_PROJECT** and **GOOGLE_APPLICATION_CREDENTIALS** environment variables.
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1. Run the tests:
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With **npm**:
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npm test
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With **yarn**:
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yarn test

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