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Politweet

Our files

  • nn_matrix_factorization.py: Matrix factorization for topic extraction in the debate
  • ratings.py: Helpful utility for handling Amazon Mechanical Turks ratings
  • Politweet.py: Main utilities for extracting tweets and debates. Contains pre-processing part
  • sentiment.py: Sentiment classification with Rule-based system and ML techniques
  • candidates_class.py: Candidate classification with Rule-based system and ML techniques
  • topic_extraction.py: Word2Vec for topic extraction
  • transcript.py: Cleaning the debate transcript with spell check and heuristics
  • static/: Folder that contains our HTML visualization with AngularJS
  • SentiWordNet/: Folder using our SentiWordNet implementations

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system that summarizes political sentiment given some tweets

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