msahamed/yelp_comments_classification_nlp
Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.
This project helps business owners and analysts quickly understand customer sentiment from Yelp reviews. It takes raw customer comments as input and classifies each one as either 'positive' or 'negative' based on its content. This tool is designed for anyone needing to efficiently gauge overall customer perception from large volumes of text feedback.
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Use this if you need to automatically categorize a large collection of Yelp customer reviews into positive or negative sentiment to get quick insights into customer satisfaction.
Not ideal if you need a nuanced sentiment analysis beyond simple positive/negative, or if your reviews are not from Yelp.
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Apr 29, 2019
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