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