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  ## 1) Create Amazon Product Review Sentiment Analysis
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@@ -32,4 +46,4 @@ The dataset comprises reviews collected from Amazon, each labeled as either posi
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  ## Technologies and Techniques Used
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  - **Python**: For all backend operations including data handling and model training.
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  - **TensorFlow/Keras**: To build and train the neural network.
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- - **Natural Language Processing**: Techniques such as tokenization and vectorization to convert text data into a form that can be fed into the model.
 
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+ ---
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+ license: unlicense
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+ datasets:
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+ - McAuley-Lab/Amazon-Reviews-2023
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+ metrics:
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+ - accuracy
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+ - recall
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+ pipeline_tag: text-classification
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+ library_name: tf-keras
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+ tags:
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+ - text-classification
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+ - sentiment-analysis
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+ - amazon reviews
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+ ---
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  ## 1) Create Amazon Product Review Sentiment Analysis
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  ## Technologies and Techniques Used
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  - **Python**: For all backend operations including data handling and model training.
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  - **TensorFlow/Keras**: To build and train the neural network.
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+ - **Natural Language Processing**: Techniques such as tokenization and vectorization to convert text data into a form that can be fed into the model.