SPAM REVIEW DETECTION USING NATURAL LANGUAGE PROCESSING TECHNIQUES

Authors

  • Chaitanya Kale Department of Information Technology, College Of Engineering, Kopargaon, India
  • Dadasaheb Jadhav Department of Information Technology, College Of Engineering, Kopargaon, India
  • Tushar Pawar Department of Information Technology, College Of Engineering, Kopargaon, India

Keywords:

Spam, Machine learning;, Topic extraction, Post-comment similarity

Abstract

In recent year, online reviews have become the most important resource of customer opinion. Existing research has been focused on extraction, classification and summarization of opinion from reviews in websites, forums and blogs. Nowadays consumer can obtain information for products and service from online review resources, which can help them make decision. The social tools provided by the content sharing applications allow online user to interact, to express their opinions and to read opinions from other users. But the spammers provide comments which are written intentionally to misleadusers by redirecting them to web sites to increase their rating and to promote products less known on the market. Reading spam comments is a bad experience and a waste of time for most of the online users but can also be harming and cause damage to the reader. Several researchers in this field focused on only spam or non-spam comments

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Published

2021-03-27

Issue

Vol. 3 No. 1 (2016): IJIERT

Section

Articles

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