使用机器学习技术检测虚假评论

S. Yadav, Dr. Gulbakshee Dharmela, Khushali Mistry
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引用次数: 3

摘要

在线评论在今天的商业和贸易中起着至关重要的作用。在电子商务的世界里,评论是成功和失败的最好标志。拥有良好评价的企业在网站和页面上获得大量免费曝光,而良好的评价显示在搜索结果的顶部。网上到处都是虚假评论。在线虚假评论是由没有实际使用产品或服务的人撰写的评论。由于激烈的竞争,卖家现在愿意采取不公平的手段使他们的产品脱颖而出。这项工作引入了一些监督机器学习技术来检测虚假的在线评论,并能够阻止发布此类评论的恶意用户。
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Fake Review Detection Using Machine Learning Techniques
Online reviews play a vital role in today's business and commerce. In the world of e-commerce, reviews are the best signs of success and failure. Businesses that have good reviews get a lot of free exposure on websites and pages that have good reviews show up at the top of the search results. Fake reviews are everywhere online. Online fake reviews are the reviews which are written by someone who has not actually used the product or the services. Because of the cut-throat competition, sellers are now willing to resort to unfair means to make their product stand out. This work introduces some supervised machine learning techniques to detect fake online reviews and also be able to block the malicious users who post such reviews.
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