Sentiment analysis for Product Reviews

Anil B., Aman Kumar Singh, Aditya Kumar Singh, Aman and Surekha Thota

Abstract


Sentiment analysis or opinion mining is the study of extracting opinions and providing polarity to the pieces of text using DMT and NLP techniques respectively. Nowadays internet is used as a source of learning, getting reviews for various products or services, getting ideas. Millions of reviews are generated on the internet every day for a product. Because of the huge number of reviews, it is very difficult to handle and understand the reviews. Sentiment analysis is the research area which is used to extract the opinion from given review and classifying the polarity of the opinion using the process of NLP, computational linguistics, text analytics. There are many algorithms which are used to tackle NLP problems. In this paper, we have discussed different methods and we will concentrate on Vader for classifying and analyzing the reviews. We have collected the data for product reviews from Amazon, Flipkart, and Snapdeal. Perform the sentiment analyse on the reviews related to a particular product, compute the polarity score and finally provide a single line review of the product that helps the customer to easily decide whether to purchase the product.


Keywords


sentiment, analysis, DMT, NLP

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References


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DOI: https://doi.org/10.26483/ijarcs.v9i0.6185

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