Open AccessOntology Reasoning Towards Sentimental Product Recommendations Explanations
Author(s) -
Vidya Kamma*,
D. Teja Santosh,
G. Sridevi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6852.098319
Subject(s) - ontology , sentiment analysis , product (mathematics) , point (geometry) , computer science , public opinion , data science , service (business) , knowledge management , recommender system , world wide web , business , marketing , political science , artificial intelligence , philosophy , geometry , mathematics , epistemology , politics , law
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.