Classify tweets to positive, negative or neutral based on their emotions.
Different vectorization methods used and tested: bag-of-words, tf-idf, word embeddings.
Different classification methods: KNN, SVM, Round Robin (Pairwise classifier).
For more details on the project read/run the Jupyter notebook.
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Sentiment analysis on tweets: data cleaning, data analysis, vectorization, classification
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