StreamFeel

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Twitch chat analytics; filter garbage, see what people are feeling, and more using natural language processing.

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# StreamFeel - Twitch chat analytics &amp; more

StreamFeel is a Chrome Browser Extension for Twitch.
It solves the problem of "I can't understand what people are saying because none of this makes sense!"; it uses an existing "dataset" or collection of messages to make conclusions (natural language processing).

## Primary Features
Without the use of predefined rules or algorithm and by using thousands of twitch messages:
* Filters chat messages intelligently,
* Computes sentiment (what people are feeling),
* User Mentions (in-progress),
* Provides analytics; emote, sentiment, and the ability to view this info in realtime or by the minute.

### Technical Challenges
* More than I can count with fingers and toes

### Important files
* **stream_feel.cc** (pnacl/Release)
: NLP, Native Client, Computation
* **streamfeelutil.cpp** (/) 
: Utility to update (serialize) dataset for
the native client module to use for classification
* **inject.js** 
: Code injected into stream's page to manipulate twitch chat
* (Other): default & sentiment.js are trained categorizer models used to load StreamFeel.

### Technical Jargon (How)

It uses a form of machine learning: specifically multiclass linear SVM classification as well as natural language processing (sentimental analysis) using MITIE (MIT's Information Extraction Tools / Library) which is built on top of dlib, a high performance machine learning library (verbatim: https://github.com/mit-nlp/MITIE).

Additionally, for data visualization;
* **Chart.js** Copyright (c) Nick Downie

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