ralucacocioban/SentimentClassification

system that summarizes political sentiment given some tweets

Politweet

• The visualization (see here)
• The IPython notebooks explanation of code
  • Exploring Candidate classification (Machine learning)
  • Exploring Sentiment analysis (Machine learning)
  • Visualizing Sentiment and Candidates
  • Exploring Topic modeling with Word2Vec
  • Evaluating SentiWordNet Lexicon

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