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README.md
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# Sentiment Analysis Using LSTM and CNN
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This project implements a hybrid deep learning model combining **Long Short-Term Memory (LSTM)** networks and **Convolutional Neural Networks (CNN)** for sentiment analysis. The architecture leverages the strengths of both LSTM and CNN to process textual data and classify sentiments effectively.
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---
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license: mit
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language:
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- en
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- vi
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metrics:
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- accuracy
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- f1
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- recall
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- precision
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pipeline_tag: text-classification
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tags:
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- analysis
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- sentiment
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- text-classification
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---
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# Sentiment Analysis Using LSTM and CNN
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This project implements a hybrid deep learning model combining **Long Short-Term Memory (LSTM)** networks and **Convolutional Neural Networks (CNN)** for sentiment analysis. The architecture leverages the strengths of both LSTM and CNN to process textual data and classify sentiments effectively.
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