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Recognition of Fabricated Online Reviews Using Semi-Supervised Learning

EasyChair Preprint 7686

5 pagesDate: April 2, 2022

Abstract

In the World Online reviews have major impact on daily  business and e-commerce . Purchase of  products  in online mostly depends on reviews given by the users, reviews are the major parameter of decision making  . Thus, opportunistic individuals or groups attempt to use product reviews to advance their own interests. We propose some semi-supervised text mining models to detect false online reviews in this paper

Keyphrases: EM, SVM, semi-supervised

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:7686,
  author    = {Satyanarayana Botsa and Dinesh Chandra Pancharia},
  title     = {Recognition of Fabricated Online Reviews Using Semi-Supervised Learning},
  howpublished = {EasyChair Preprint 7686},
  year      = {EasyChair, 2022}}
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