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Sentiment Analysis of Amazon Book Review Data Using Lexicon Based Analysis

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dc.contributor.author Khatun, Fatema
dc.contributor.author Chowdhury, S. M. Mazharul Hoque
dc.contributor.author Tumpa, Zerin Nasrin
dc.contributor.author Rabby, SK. Fazlee
dc.contributor.author Hossain, Syed Akhter
dc.contributor.author Abujar, Sheikh
dc.date.accessioned 2021-10-26T09:36:07Z
dc.date.available 2021-10-26T09:36:07Z
dc.date.issued 2020
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6296
dc.description.abstract In this digital era, people are much more interested to buy and sell things in E-Commerce websites. Book is one of the mostly sold products on online by different online stores. Amazon is one of the leading online stores, which has million dollar transactions every year with its rich variety of products. In particular, book is one of the best-selling products of Amazon. Sentiment is therefore holding a very strong position in market analysis and future business development. Based on sentiment now it is possible to predict everything about business based on the user and other NLP related fields where opinion comes from someone. This research focuses on determining the quality of books as well as authors through the analysis of review comments and rating provided by the user. To determine that, lexicon based analysis is used here and using bag of word, the positivity and negativity of the review was determined. So that people can find the best book they need within a short time and without facing difficulty. en_US
dc.publisher Scopus en_US
dc.subject Lexicon en_US
dc.subject Amazon en_US
dc.subject Online book reviews en_US
dc.subject Polarity en_US
dc.subject Sentiment analysis en_US
dc.title Sentiment Analysis of Amazon Book Review Data Using Lexicon Based Analysis en_US
dc.type Article en_US


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