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---
license: cc-by-3.0
datasets:
- stanfordnlp/imdb
language:
- en
metrics:
- accuracy
---
model structure:
Input Text
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Custom Tokenizer (Text -> Tokens)
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Padding (Equal Length Sequences)
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Embedding Layer (Tokens -> Dense Vectors)
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LSTM Layer (Capture Sequential Patterns)
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Attention Mechanism (Focus on Important Tokens)
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Dense Layer (Fully Connected)
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Softmax Activation (Output: Positive or Negative Sentiment)
it archieved 95.71% accuracy on the dataset provided
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