Impact of Natural Language Processing on Information Validation of Social Media With Text Mining

Published in Journal

Journal of Advances and Scholarly Researches in Allied Education [JASRAE] (Vol:16/ Issue: 6) DOI: 10.29070/JASRAE
Authors: Munde Ajay Atmaram*, Syed Umar,
Subjects: Multidisciplinary Academic Research

Year: May, 2019
Volume: 16 / Issue: 6
Pages: 1759 - 1761 (3)
Publisher: Ignited Minds Journals
Source:
E-ISSN: 2230-7540
DOI:
Published URL: http://ipublisher.in/p/221716
Published On: May, 2019

Article Details

Impact of Natural Language Processing on Information Validation of Social Media with Text Mining | Original Article

Munde Ajay Atmaram*, Syed Umar, in Journal of Advances and Scholarly Researches in Allied Education | Multidisciplinary Academic Research

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ABSTRACT:

Fake news offers been around for a extremely lengthy period. Nevertheless, there is certainly no decided definition of the term false information. A thin description of artificial news is normally information content articles that are deliberately and verifiably fake and could deceived visitors. To help study in fake news detection on interpersonal press, it is essential to determine portrayal and recognition of on-line websites. This paper presents the NLP text message control for Facebook. The false information features are regarded as repeated with no relationship which is usually demonstrated in this paper.