aniass/Sentiment-analysis-reviews
Sentiment analysis of women's clothes reviews by using machine learning algorithms and Neural Networks (LSTM).
This project helps e-commerce businesses or product managers understand customer feedback by analyzing written reviews of women's clothing. It takes raw customer reviews and assigns a sentiment (positive or negative), indicating whether a product is recommended. This allows marketers, product teams, or business owners to quickly gauge customer satisfaction without manually reading every review.
Use this if you need to automatically categorize customer reviews for products, particularly women's clothing, to determine overall sentiment or identify popular items.
Not ideal if you need to analyze sentiment for reviews outside of fashion products or require highly nuanced sentiment detection (e.g., distinguishing sarcasm or complex opinions).
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Last pushed
Oct 25, 2025
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