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Text Sentiment Analysis Method

FREE
By fyhao
Updated 6 months ago
Tools
6.4/10
Popularity Score
2351ms
Latency
100%
Success Rate

Text Sentiment Analysis Method API Documentation

Analysing text sentiment by passing text or paragraphs, in single line or multiple lines, and get back with the sentiment analysis report, to get how many of lines be analysed, how many positive, negative, middle sentiment for the lines of text.

View API Details
POSTanalyze
POSTanalyze

Analyze the sentiment of a text by passing in a text or paragraphs.

Header Parameters
X-RapidAPI-HostSTRING
REQUIRED
X-RapidAPI-KeySTRING
REQUIRED
Required Parameters
textSTRING
REQUIREDThe text or paragraphs want to analyze.
Code Snippet
unirest.post("https://text-sentiment.p.rapidapi.com/analyze")
.header("X-RapidAPI-Host", "text-sentiment.p.rapidapi.com")
.header("X-RapidAPI-Key", "SIGN-UP-FOR-KEY")
.header("Content-Type", "application/x-www-form-urlencoded")
.send("text=I am not really happy")
.end(function (result) {
  console.log(result.status, result.headers, result.body);
});
Sample Response
General
Request URL: https://text-sentiment.p.rapidapi.com/analyze
Request Method: POST
Response Headers
Response Body

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.post("https://text-sentiment.p.rapidapi.com/analyze")
.header("X-RapidAPI-Host", "text-sentiment.p.rapidapi.com")
.header("X-RapidAPI-Key", "SIGN-UP-FOR-KEY")
.header("Content-Type", "application/x-www-form-urlencoded")
.send("text=I am not really happy")
.end(function (result) {
  console.log(result.status, result.headers, result.body);
});
OAuth2 Authentication
Client ID
Client Secret
OAuth2 Authentication