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Fuzzy Sentiment Analysis (FSA)

Fuzzy Sentiment Analysis is project for detecting emotions in short text messages on russian language.

FSA include following features:

  • loading and preprocessing text files in raw format
  • tokenizing and lemmatization russian texts
  • text modeling
    • bag of words
    • word2vec
  • training of classifiers
  • testing saved classifiers
  • classification reports with plots

How to use:

run main.py

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