amiruzzaman1/Deep-Learning-Approaches-for-Emotion-Detection
This project focuses on exploring deep learning approaches for emotion detection in Twitter data. It evaluates the effectiveness of various models—BiLSTM, CNN, GRU, ANN, and RNN—in accurately classifying emotions from a large-scale dataset of 393,822 annotated tweets.
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