A survey on sentimental cluster based opinion summarization in question answering community

Abstract

A sentiment analysis is a study which includes opinion mining, sentiment classification, and opinion summarization broadly. An opinion summarization plays an increasing research interest for automatically compressing the extensive information and generating a short summary with unlimited time. Opinion analysis is one of the emerging studies in computer domain which embrace of sentiment polarity, sentiment, opinion or semantic orientation. This paper presents the survey on sentiment analysis and summarization approaches with its challenges, methodology and pros and cons of the existing methodology. In this survey, we evaluated the research gaps of the existing technique for suggesting the new technique by the mean of applying the semi-supervised data undergo clustering; classification and summarization by means of convolutional neural network (CNN) network learning method which may use for the opinion summarization.