BOW

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Work with your assigned partner to do sentiment analysis on the Twitter Sentiment

Predict the sentiment of the tweets: positive, negative, neural, irrelevant. The data is already split into training and testing sets but you will need to further divide the data into training/dev/test. it is its in.

Be sure to use sci-kit learn's BOW implementation and compare it to the TF-IDF model. Try different number of features and bigrams. Try different Logistic Regression, Random Forests, a MLP (neural networks) and report F1 scores.

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1. GFU
2. CSIS
3. J. Walker Orr
4. CSIS 440