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  Published Paper Details:

  Paper Title

FAKE REVIEW DETECTION USING MACHINE LEARNING TECHNIQUES

  Authors

  Sangamesh Gama,  Abhinandan V,  Aishwarya C A,  Arshiya Sultana

  Keywords

Fake Review Prediction, Machine Learning, Na�ve Bayes Classifier, Natural Language Processing (NLP)

  Abstract


Online reviews play a vital role in today�s business and commerce. In the world of e-commerce, reviews are the best signs of success and failure. Business that has good reviews get a lot of free exposure on websites and pages that have good reviews show up at top of the search results. Fake Reviews are everywhere online. Online fake reviews are the reviews which are written by someone who has not actually used the product or the services. Because of the cut-throat competitions, sellers are now willing to resort unfair means of making their product shine out .This work introduces some supervised machine learning techniques to detect fake online reviews and also be able to block the malicious users who post such reviews.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2007366

  Paper ID - 197030

  Page Number(s) - 3613-3617

  Pubished in - Volume 8 | Issue 7 | July 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sangamesh Gama,  Abhinandan V,  Aishwarya C A,  Arshiya Sultana,   "FAKE REVIEW DETECTION USING MACHINE LEARNING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.3613-3617, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007366.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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