Author Login IJIRT Partner Network (IPN) Login

Real Time Fake News Detection by using Supervised Learning Model for Social Media Contents

  • Unique Paper ID: 156172
  • Volume: 9
  • Issue: 2
  • PageNo: 1120-1124
  • Abstract:
  • Increase and Evolution in communication technologies, has resulted in creating and spreading fake news, which can mislead people, or lead to problems in society or a country. In this project are the applications for the detection of 'fake news,' which is misleading news stories from reputable sources of the NLP (Natural Language Processing) methods. This approach has been implemented and examined in the form of a web application system. In this novel real time fake news detection approach, among the four classifiers -Random Forest, Logistic Regression, SVM, Naïve Bayes-Random Forest achieved the accuracy of 95%, and performed better than the rest of classifier models in new prediction approach.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 2
  • PageNo: 1120-1124

Real Time Fake News Detection by using Supervised Learning Model for Social Media Contents

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry