Utilized 1.5M Twitter tweets. Data preprocessing tasks include removing junk data, normalizing text, tokenization and vectorization. Final model includes RNN, bidirectional LSTM and GRUs for fast training. Accuracy peaking 80%.
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An RNN for natural language processing on tweets.
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