Application Of Machine Learning Techniques For Fake Customer Review Detection
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.
References
[2]. Chirag Visani ,NavjyotsinhJadeja and Manali Modi, “Study on different machine learning techniques for spam review detection”, IEEE 2017.
[3]. Michael Crawford , Taghi M. Khoshgoftaar ,Joseph D.Prusa, Aaron N. Richter ,Hamzah Al Najada, “Survey of review spam detection using machine learning techniques”, Journal of Big Data(Springer) 2015 .
[4]. Naveed Hussain , Hamid Turab Mirza ,Ghulam Rasool , Ibrar Hussain , Mohammad Kaleem, “Spam review detection techniques :A systematic literature review”, Applied Sciences ,2019.
[5]. Ms. RajashriKashti ,Dr. Prakash Prasad, “Enhancing NLP Techniques for fake review detection”, IRJET , volume 6 issue 02, Feb
[6].Mukherjee A, Venkataraman V, Liu B, Glance NS (2013) What
yelp fake review filter might be doing? Boston, In ICWSM.
[7] N Jindal, B Liu, Proceedings of the 16th international conference on World Wide Web, 1189-1190
[8] N. Jindal and B. Liu. Analyzing and Detecting Review Spam.
ICDM2007.
[9] A. Z. Broder. On the resemblance and containment documents. In
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