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Survey Paper | Computer Science & Engineering | India | Volume 9 Issue 5, May 2020
A Survey on Detection of Fake Online Reviews
Dr. Sameena Banu [3] | Asma Shaheen [2]
Abstract: Thing overviews are presently comprehensively used by individuals for choosing their decisions. Nevertheless, in view of the inspiration driving advantage, experts game the system by posting fake reviews for progressing or downsizing the goal things. In the past scarcely any years, fake overview recognizable proof has pulled in essential thought from both the cutting edge affiliations and insightful systems. In any case, the issue remains to be a troublesome issue in view of lacking of stamping materials for oversaw learning and appraisal. Current works made various undertakings to address this issue from the purposes of reporter and review. In any case, there has been little discussion about the thing related review features which is the essential point of convergence of our method.
Keywords: Fake Review, SVM, MachineLearning
Edition: Volume 9 Issue 5, May 2020,
Pages: 1365 - 1367
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Research Paper, Computer Science & Engineering, India, Volume 9 Issue 9, September 2020
Pages: 759 - 761Empirical Study of Fake Reviews Detection of Online Reviews from E-Commerce Website
Phani K. Cheruku | Atul Kumar [17]
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Review Papers, Computer Science & Engineering, India, Volume 7 Issue 3, March 2018
Pages: 1019 - 1026Fake Opinion and Brand Spam Detection Utilizing J48 Classifier Time Series
Sai Nawale | K. V. Reddy [2]