文章基本信息

标题：Fake Product Review Monitoring Using Opinion Mining
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作者：Anusha Sinha ; Nishant Arora ; Shipra Singh 等
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：12
页码：47-52
DOI：10.35629/5252-0211483486
语种：English
出版社：IJAEM JOURNAL
摘要：Product reviews play an important role in deciding the sale of a particular product on the e-commerce websites or applications like Flipkart, Amazon, Snapdeal, etc. In this paper, we propose a framework to detect fake product reviews or spam reviews by using Opinion Mining. The Opinion mining is also known as Sentiment Analysis. In sentiment analysis, we try to figure out the opinion of a customer through a piece of text. We first take the review and check if the review is related to the specific product with the help of Decision tree. We use Spam dictionary to identify the spam words in the reviews. In Text Mining we apply several algorithms and on the basis of these algorithms we get the specific results.
关键词：spam review detection;opinion mining;decision tree;text mining