Abstract: Online shopping increasing rapidly Now a day, a huge amount of hindi reviews is present on the E- commerce website. In this paper we have proposed a strategy for classifying given Hindi texts in to different classes and then extract sentiments in terms of positive, negative and neutral for identified classes. Negation is also handled in the proposed system. There are mainly two approaches used for sentiment analysis- lexicon based and machine learning based approach. We emphasis on lexicon based approach which depends on an external dictionary. The system classifies the reviews as positive, negative and neutral and calculate the score for Hindi language. The Methodology used in proposed system is Hybrid approach and Modal is Statical based.
Keywords: Lexicon based approach, Hybrid approach, Statical based model.
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DOI:
10.17148/IJARCCE.2021.10106
