Abstract: Sentiment analysis is one of the popular research areas in the field of text mining. The Internet has become a very popular resource for information gathering. People can share their opinion related to any product, services, events etc. The sentiment content can be about books, people, hotels, products, research, events, etc. These sentiments become very beneficial for businesses, governments, and individuals. Websites like Flip kart, Amazon, Snap deal, etc. are popular sites where millions of users exchange their opinions and making it a valuable platform for tracking and analyzing opinions and sentiments. Sentiment analysis is the best solution. In this paper finding the sentimental analysis survey on online E-shopping websites. The main goal is to compare different online E-shopping techniques algorithms. [2].
Keywords: Sentiment analysis, text mining, opinion mining, E-shopping website
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DOI:
10.17148/IJARCCE.2020.9209
