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

Exploring the Impact of Natural Language Processing in Detecting Fake News on Social Media

Authors

  • Munde Ajay Atmaram Author
  • Dr. Syed Umar Author

Keywords:

natural language processing, information validation, social media, text mining, fake news detection

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.

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Published

2019-05-01

How to Cite

[1]
“Impact of Natural Language Processing on Information Validation of Social Media with Text Mining: Exploring the Impact of Natural Language Processing in Detecting Fake News on Social Media”, JASRAE, vol. 16, no. 6, pp. 1759–1761, May 2019, Accessed: Apr. 04, 2026. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/11633