Rule-Based Approach in Aspect-Based Sentiment Analysis of Hindi Text

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.