indiansentiment
v1.0.2
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AFINN-based sentiment analysis for Node.js Forked for Indian context
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sentiment
AFINN-based sentiment analysis for Node.js
Sentiment is a Node.js module that uses the AFINN-111 wordlist to perform sentiment analysis on arbitrary blocks of input text. Sentiment provides serveral things:
- Performance (see benchmarks below)
- The ability to append and overwrite word / value pairs from the AFINN wordlist
- A build process that makes updating sentiment to future versions of the AFINN word list trivial
Installation
npm install sentiment
Usage
var sentiment = require('sentiment');
var r1 = sentiment('Cats are stupid.');
console.dir(r1); // Score: -2, Comparative: -0.666
var r2 = sentiment('Cats are totally amazing!');
console.dir(r2); // Score: 4, Comparative: 1
Adding / overwriting words
You can append and/or overwrite values from AFINN by simply injecting key/value pairs into a sentiment method call:
var sentiment = require('sentiment');
var result = sentiment('Cats are totally amazing!', {
'cats': 5,
'amazing': 2
});
console.dir(result); // Score: 7, Comparative: 1.75
Benchmarks
The primary motivation for designing sentiment
was performance. As such, it includes a benchmark script within the test directory that compares it against the Sentimental module which provides a nearly equivalent interface and approach. Based on these benchmarks, running on an older MacBook Air with Node 0.10.26, sentiment
is more than twice as fast as alternative implementations:
sentiment (Latest) x 244,901 ops/sec ±0.49% (100 runs sampled)
Sentimental (1.0.1) x 94,135 ops/sec ±0.50% (100 runs sampled)
To run the benchmarks yourself, simply:
make benchmark
Testing
npm test