TypeScript typings for Cloud Natural Language API v1beta2

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations, to developers. For detailed description please check documentation.

Installing

Install typings for Cloud Natural Language API:

npm install @types/gapi.client.language-v1beta2 --save-dev

Usage

You need to initialize Google API client in your code:

gapi.load('client', () => {
  // now we can use gapi.client
  // ...
});

Then load api client wrapper:

gapi.client.load(
  'https://language.googleapis.com/$discovery/rest?version=v1beta2',
  () => {
    // now we can use:
    // gapi.client.language
  }
);

// Deprecated, use discovery document URL, see https://github.com/google/google-api-javascript-client/blob/master/docs/reference.md#----gapiclientloadname----version----callback--
gapi.client.load('language', 'v1beta2', () => {
  // now we can use:
  // gapi.client.language
});

Don't forget to authenticate your client before sending any request to resources:

// declare client_id registered in Google Developers Console
var client_id = '',
  scope = [
    // Apply machine learning models to reveal the structure and meaning of text
    'https://www.googleapis.com/auth/cloud-language',

    // See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account.
    'https://www.googleapis.com/auth/cloud-platform',
  ],
  immediate = true;
// ...

gapi.auth.authorize(
  {client_id: client_id, scope: scope, immediate: immediate},
  authResult => {
    if (authResult && !authResult.error) {
      /* handle successful authorization */
    } else {
      /* handle authorization error */
    }
  }
);

After that you can use Cloud Natural Language API resources:

/*
Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.
*/
await gapi.client.language.documents.analyzeEntities({});

/*
Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.
*/
await gapi.client.language.documents.analyzeEntitySentiment({});

/*
Analyzes the sentiment of the provided text.
*/
await gapi.client.language.documents.analyzeSentiment({});

/*
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
*/
await gapi.client.language.documents.analyzeSyntax({});

/*
A convenience method that provides all syntax, sentiment, entity, and classification features in one call.
*/
await gapi.client.language.documents.annotateText({});

/*
Classifies a document into categories.
*/
await gapi.client.language.documents.classifyText({});

/*
Moderates a document for harmful and sensitive categories.
*/
await gapi.client.language.documents.moderateText({});