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.
The "Bag of Words" (BoW) is a basic and fundamental technique in Natural Language Processing (NLP) for representing text data as numerical features that can be used in machine learning models.
Progetto Text Mining and Search
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