Sentiment is a Node.js module that uses the AFINN-165 wordlist to perform sentiment analysis on arbitrary blocks of input text. Sentiment provides several 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
npm install sentiment
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
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
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 a MacBook Pro with Node 0.12.7, sentiment
is twice as fast as alternative implementations:
sentiment (Latest) x 544,714 ops/sec ±0.83% (99 runs sampled)
Sentimental (1.0.1) x 269,417 ops/sec ±1.06% (96 runs sampled)
To run the benchmarks yourself, simply:
make benchmark
npm test