Ontology reasoning towards sentimental product recommendations explanations

Abstract

In the last two decades various organizations like service industries, study communities, academic world and public industries are working intensely on sentiment analysis, to extract and analyze public views. The reviews given on the social websites, commercial websites, etc. enable customer to share their point of view. Explainable Recommendation algorithms help the user by providing explainable recommendations, which improves user satisfaction. Recently, many researchers proposed explainable recommendations. In this survey Firstly, various opinion-mining approaches are explored. Secondly, we reviewed sentiment-based and ontology based recommendation systems. Finally, prospects for the research in opinion mining is discussed.