Team 2b|!2b's project for the HackFMI8 hackathon
###Dataset mining - more than 150k unique texts
- Downloaded more than 100k tweets using Twitter API
- Additional 50k from other sources
- All data is labeled
###Data preprocessing
- removed all hashtags, links, user mentions, retweets
- removed meaningless data
- removed all stopwords
###Algorithm
- "Bag of Words" - vectorization
- Implemented different classification algorithms (SVC, Naive Bayes)
- Compared and tuned the result
- Get result of sample input and graph the probabilities
- Find how to export and import classifiers
- API - Python
- GUI - HTML and JS