GitHub / Alpha-131 / Tweet-Emotion-Recognition
I crafted a robust sentiment analysis model featuring Bidirectional LSTM layers and embeddings. Leveraging a Sequential model structure and fine-tuning with 'sparse_categorical_crossentropy' loss and 'adam' optimizer, the implementation excels in capturing contextual nuances for precise emotion classification in natural language data.
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PURL: pkg:github/Alpha-131/Tweet-Emotion-Recognition
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License: None
Language: Jupyter Notebook
Size: 84 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: about 2 months ago
Topics: bidirectional-lstm, deep-learning, sentiment-analysis