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Language sentiment analysis and neural networks... for trolls.
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README.md

troll

Language sentiment analysis and neural networks... for trolls.

Troll is a tool for performing sentiment analysis (ie: "is this naughty or nice") on arbitrary blocks of text and associating it with a unique user. Using this data, combined with a rather naivé neural network and some training, users can be classified as "trolls".

Installation

Troll uses Redis for data storage. Once Redis is up and running, you can install Troll using NPM:

npm install troll

String Analysis

var troll   = require('troll');

troll.analyze('This is great!', 'user123', function (err, result) {
    console.log(result);    // 6
});

troll.analyze('I hate this stupid thing.', 'user456', function (err, result) {
    console.log(result);    // -10 
});

Training

Before attempting to classify a user, you'll need to train Troll. You can specify your own training data or use a basic set that is included. To load the included training set:

troll.train(function (err, result) {
    console.dir(result);    // { error: 0.005, iterations: 72 }
});

User Classification

Once trained, now you can classify:

troll.classify('user123', function (err, result) {
    console.dir(result);    // { total: 9, sum: 36, troll: 0.010294962292857838 }
});

The value returned for the troll key represents the probability of that user being a troll. A value close to zero means that they are most likely not a troll, while a number closer to one means that they are.


Redis Connection Options

Troll uses your environment by looking at process.env for connection settings. If none are found, default Redis connection settings are used:

TROLL_HOST: null
TROLL_PORT: null
TROLL_PASS: null

Testing

npm test

Credits

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