sentiment-custom-lists v1.0.10

sentiment custom lists - AFINN-based sentiment analysis for Node.js

This project is a fork of thisandagain/sentiment. This project do the same as the original project and add support to use other AFINN like lists to do sentiment analysis

Original description

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-custom-lists

Usage

var sentiment = require('sentiment-custom-lists');

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

Usage with another list

("de_de" list currently not existing)

var sentiment = require('sentiment-custom-lists');

var r1 = sentiment('Katzen sind dumm.', 'de_de');
console.dir(r1);        // Score: -2, Comparative: -0.666

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!', 'en_us' {
    '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 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

Testing

npm test