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RESTAURANT RECOMMENDER SYSTEM (RSS) BY SENTIMENT ANALYSIS ON YELP DISH REVIEWS

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The present thesis provides an exploratory research on text classification in English language. This project is based on customers’ reviews on Yelp restaurants. Sentiment analysis on customers’ reviews to identify positive and negative reviews on on specific dishes of the restaurants.

The main objective of this study sentiment analysis on customers’ reviews on specific dishes of the restaurants as “positive” or “negative” to give reliable restaurant recommendation for the user to make an easy and quick decision.

In this thesis, we proposed a solution for people to make an easy and quick decision with good quality related to customers’ reviews of the dishes of restaurants

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RESTAURANT RECOMMENDER SYSTEM (RSS) BY SENTIMENT ANALYSIS ON YELP DISH REVIEWS

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