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Uses ML to determine sentiment from user text messages and tries to cheer them up

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HTNE

Hackathon project for hack the northeast.

My contribution

Created a LSTM model for sentiment analysis of input text messages to determine whether or not we should try and cheer up the user.

Utilized GloVe embeddings as a form of pre-training so that our model would generalize better by learning the vector similarities that exist within word embeddings

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Uses ML to determine sentiment from user text messages and tries to cheer them up

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