Publication

Abstract : Sentiment analysis is attracting the attention of both academics and companies because of the interesting research challenges it poses and the potential practical benefits it may give in a broad range of scenarios. Aspect-based sentiment analysis (ABSA) is among the most difficult problems with the Hindi language in this area. In this article, we provide a unique rulebased approach to aspect extraction from product evaluations that makes use of phrase dependency trees and common-sense information to separate both overt and covert features. In Hindi text, this method performs better than cutting-edge aspect extraction methods. The better categorizations of a considerable number of recent studies, the comparisons between those publications, and the description of the present trend in research in the rule-based ABSA of Hindi are the main help of this work. The proposed study's prime objective is to create a rule-based method for extracting aspect phrases from review sentences.