sentiment-swedish-racing
v1.1.1-3
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Swedish translated, tuned for races, AFINN-based sentiment analysis for Node.js
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sentiment-swedish
Swedish translated, AFINN-based sentiment analysis for Node.js
Psst! Looking for the English version made by 'thisandagain'?
Then go here instead, since this is a Swedish version of the module.
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 wordlists trivial
Installation
npm install sentiment-swedish
Usage
var sentiment = require('sentiment-swedish');
var r1 = sentiment('Katter är dumma.');
console.dir(r1); // Score: -2, Comparative: -0.666
var r2 = sentiment('Katter är totalt fantastiska!');
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-swedish');
var result = sentiment('Katter är totalt fantastiska!', {
'katter': 5,
'fantastiska': 2
});
console.dir(result); // Score: 7, Comparative: 1.75
Benchmarks
A 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 v6.9.1, sentiment
is twice as fast as alternative implementations:
sentiment (Latest) x 448,788 ops/sec ±1.02% (88 runs sampled)
Sentimental (1.0.1) x 240,103 ops/sec ±5.13% (81 runs sampled)
To run the benchmarks yourself:
make benchmark
Testing
npm test