Amazon Review Sentiment Analysis with TF-IDF and StreamlitAmazon Review Sentiment Analysis with TF-IDF and Streamlit
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Built a machine learning application that analyzes Amazon customer reviews and predicts whether the sentiment is positive or negative.
The project uses TF-IDF to convert review text into numerical features and Logistic Regression for sentiment classification. The trained model is integrated into a Streamlit application so users can enter a review and receive a sentiment prediction.
Built with: Python, TF-IDF, Logistic Regression, Machine Learning, and Streamlit.
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