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Document Similarity

FREEMIUM
By textanalysis
Updated 3 days ago
Data
2.5/10
Popularity Score
21546ms
Latency
13%
Success Rate

Document Similarity API Documentation

Document Similarity API is based on advanced Natural Language Processing and Machine Learning technologies, and it belongs to text analysis and can be used to analysis the semantic similarity of two text document that user provided. The result is cosine similarity from 0 to 1, 0 means absolute different, 1 means absolute same.

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POSTDocument Similarity
GET
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Header Parameters
X-RapidAPI-KeySTRING
REQUIRED
Request Snippet
unirest.("https://textanalysis-document-similarity-v1.p.rapidapi.com")
.header("X-RapidAPI-Key", "undefined")
.header("Content-Type", "application/x-www-form-urlencoded")
.end(function (result) {
  console.log(result.status, result.headers, result.body);
});
Sample Response

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Install SDK for NodeJS

Installing

To utilize unirest for node.js install the the npm module:

$ npm install unirest

After installing the npm package you can now start simplifying requests like so:

var unirest = require('unirest');

Creating Request

unirest.("https://textanalysis-document-similarity-v1.p.rapidapi.com")
.header("X-RapidAPI-Key", "undefined")
.header("Content-Type", "application/x-www-form-urlencoded")
.end(function (result) {
  console.log(result.status, result.headers, result.body);
});
OAuth2 Authentication
Client ID
Client Secret
OAuth2 Authentication

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