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Sentiment Classifier for Tweets

The sentiment classifier is written entirely on Python 2.7 with the use of the Patterns Library 2.6 and is composed of the following directories

  • Data: Contains the training data and test data used to feed the classifier
  • Dictionaries: Contains the dictionaries used on the classifier
  • Lib: Contains the slightly modified Patterns library necessary to run the classifier
  • Src: Contains the source code itself of the classifier

Version

1.0.1

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Installation

You only need to install the modified version of the Pattern library that comes with the project. For that, go to the folder location and type:

$ sudo python install setup.py

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  • Python 75.5%
  • HTML 15.6%
  • JavaScript 5.0%
  • C 2.1%
  • CSS 1.8%