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  Published Paper Details:

  Paper Title

PHONY NEWS DETECTION & CLASSIFICATION USING NLP APPROACH

  Authors

  Aditya Sonar,  Neha Bhujbal,  Shubham Baspure,  Swapnal Patil,  Sonal Fatangare

  Keywords

Fake News Detection, One-Class SVM

  Abstract


The simple access and remarkable development of the data accessible via web-based media networks has made it complex to recognize bogus and valid data. The simple scattering of data by method of sharing has added to remarkable development of its adulteration. The believability of online media networks is likewise in question where the spreading of phony data is pervasive. Accordingly, it has become an examination challenge to consequently check the data viz a viz its source, substance and distributer for classifying it as bogus or valid. AI has assumed an imperative part in order of the data in spite of the fact that for certain limits. This paper surveys different Machine learning approaches in discovery of phony and created news. The restriction of such and approaches and spontaneous creation via executing profound learning is additionally checked on.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105709

  Paper ID - 207479

  Page Number(s) - g401-g408

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Aditya Sonar,  Neha Bhujbal,  Shubham Baspure,  Swapnal Patil,  Sonal Fatangare,   "PHONY NEWS DETECTION & CLASSIFICATION USING NLP APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.g401-g408, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105709.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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