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  ## Model Architecture
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  - **Embedding Layer**: Converts input text into dense vectors.
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  - **CNN Layers**: Extracts features from text sequences.
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- - **RNN, LSTM, and GRU Layers**: Capture temporal dependencies in text.
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  - **Dense Layers**: Classify text into sentiment categories.
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  ## Usage
 
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  ## Model Architecture
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  - **Embedding Layer**: Converts input text into dense vectors.
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  - **CNN Layers**: Extracts features from text sequences.
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+ - **Vanilla RNN, LSTM**: Capture temporal dependencies in text.
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  - **Dense Layers**: Classify text into sentiment categories.
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  ## Usage