steveee27/Emotion-Text-Classification-in-Social-Media-Using-Multiple-Text-Representation-and-Deep-RNN
This project explores emotion classification in social media texts using multiple text representation techniques (TF-IDF, Word2Vec, GloVe) and deep recurrent neural networks (GRU, LSTM, Bi-GRU, Bi-LSTM). The best model achieved an F1-Score of 0.9248, with Word2Vec and Bi-LSTM outperforming other combinations.
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