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Survey on Deceptive Reviews Detection using Text Mining

Author(s):

Priyanka Patani , Government Engineering college, Gandhinagar,sector - 28; Pinal Patel, Government Engineering college, Gandhinagar,sector - 28

Keywords:

PU Learning, KNN, Deceptive Reviews

Abstract

As eCommerce and online service providing business is boosting up with huge availability of internet to end users. User are preferring to avail online services and searching for online purchasing, reviews and opinions of previous users are becoming important for any type of business. Online reviews are not only important for businesses those provide online services but also for the businesses those are not providing online services. Due to high importance of opinions from various users there is one another issue occurred in this era that is "Fake Reviews" or "Deceptive Reviews". To find out reviews published by real users or the users those have really obtained the services from the provide has become the important research topic. As a part of our research work we have studied so many technique that can try to identify the deceptive reviews. During the paper we have discussed many methods and approaches those are useful for detecting deceptive reviews.

Other Details

Paper ID: IJSRDV7I30050
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 57-60

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