Sentiment Analysis and Rating Prediction Approaches – A survey

Abstract: The vast amount of web contents in the internet arise the demand for data mining techniques. To handle this content and huge data, in recent years, researchers have proposed various approaches with the aim to discover the essential information from the web. Product or service retrieval from the huge data is became very trouble, so users reviews and ratings are considered as a major point for recommendation and filtering. But, the user�s reviews are very high and this need a lot of time to take decision from the reviews. So there is a need to summarize the reviews with finding sentiment analysis. This paper presents a survey on various Sentiment Analysis and mining techniques with different applications. From the comparative study, the new and optimal method can be detected and used for mobile app recommendation with Rating Prediction from huge set of text reviews.

Keywords: Data Mining, Text Mining, Opinion Analysis, Sentiment Analysis, Rating Prediction, Mobile App Recommendation