Fake Product Review Monitoring & Removal and Sentiment Analysis of Genuine Reviews
DOI:
https://doi.org/10.31033/ijemr.9.2.12Keywords:
Sentimental Analysis, Decision Tree Classifier, Native Bayes Classifier, Tokenization, Bag-of-words Tagging, Fake Reviews, Genuine ReviewsAbstract
Any E-Commerce website gets bad reputation if they sell a product which has bad review, the user blames the e- Commerce website rather than manufacturers most of the times. In some review sites some great audits are included by the item organization individuals itself so as to make so as to deliver false positive item reviews. To eliminate these type of fake product review, we will create a system that finds out the fake reviews and eliminates all the fake reviews by using machine learning. We also remove the reviews that are flood by a marketing agency in order to boost up the ratings of a particular product .Finally Sentiment analysis is done for the genuine reviews to classify them into positive and negative. We will use Bag-of-words to label individual words according to their sentiment.
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Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.







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