Sentiment Analysis Techniques on Food Reviews Using Machine Learning

Abstract

Review or opinion is a text which expresses the user's thought and response to the product or service he/she has availed or purchased. Processing this input and getting to know whether these sentiments are positive, negative, or neutral is called sentiment analysis. The reviews are then used by data analysts to perform evaluations about the product/service. We classify these sentiments in three principal types positive, negative, and neutral. Amazon Food reviews dataset would be used to train the classifier. Zomato, being the most popular food delivery site and restaurant aggregator provides information, menus, and user reviews of restaurants. Python language is used to conduct research on a carefully chosen data and apply a classification algorithm on it.