Application Of Machine Learning Techniques For Fake Customer Review Detection

Nupoor Shailendra Kangle, D. R. Kannan, S. Vispute
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引用次数: 1

Abstract

Now-a-days with the increasing demand of the web , online marketing is additionally becoming progressively popular. This is often because; tons of products and services are easily available online. Hence, reviews of these products and services are vital for customers also as sellers. But, to gain profit or promotion, scammers produce fake reviews. These fake reviews written by scammers prevent customers and sellers reaching actual opinion about the products. Hence, fake reviews or spam reviews must be detected and eliminated so as to prevent misleading potential customers. In our work, supervised and semi supervised learning techniques are applied to detect spam review.
机器学习技术在虚假客户评论检测中的应用
如今,随着网络需求的不断增长,网络营销也越来越受欢迎。这通常是因为;大量的产品和服务很容易在网上获得。因此,对这些产品和服务的评论对顾客和卖家都是至关重要的。但是,为了获得利润或晋升,骗子会制作虚假评论。这些由骗子撰写的虚假评论阻碍了消费者和卖家对产品的实际意见。因此,必须检测和消除虚假评论或垃圾评论,以防止误导潜在客户。在我们的工作中,监督和半监督学习技术被应用于检测垃圾邮件审查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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