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Terminology Extraction

FREEMIUM
By translated
Updated 2 months ago
3.7/10
Popularity Score
1327ms
Latency
100%
Success Rate

Terminology Extraction API Documentation

This API allows you to extract most relevant terms from a text. It is not, like many others, a basic TF-IDF analysis. It compare the text against a very large language model, it uses a probabilistic model to identify candidates, it supports multi-words terms and not only single words. It uses part of speech tagging to clean up the results". In short it is probably the most advanced term extraction out there.

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GET/get.php
GET/get.php
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Header Parameters
X-RapidAPI-HostSTRING
REQUIRED
X-RapidAPI-KeySTRING
REQUIRED
Required Parameters
langSTRING
REQUIREDCurrently supported languages: en,fr,it
textSTRING
REQUIRED
Request Snippet
unirest.get("https://translated-terminology-extraction-v1.p.rapidapi.com/get.php")
.header("X-RapidAPI-Host", "undefined")
.header("X-RapidAPI-Key", "undefined")
.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.get("https://translated-terminology-extraction-v1.p.rapidapi.com/get.php")
.header("X-RapidAPI-Host", "undefined")
.header("X-RapidAPI-Key", "undefined")
.end(function (result) {
  console.log(result.status, result.headers, result.body);
});
OAuth2 Authentication
Client ID
Client Secret
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