Volume 9, Issue 4 (April 2023)

Developing An Accurate And Reliable Fake News Detection System Using Support Vector Machine

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Author(s)

S.Abinaya Mr. A.Arul Amalraj

Abstract

Fake News Has Become A Significant Concern In Today's Digital World, Where Information Spreads Rapidly Across Social Media Platforms And Online News Sources. The Proliferation Of Fake News Can Lead To Serious Consequences, Such As Misinformation, Public

Keywords

Precision3 Recall F1Score SVM Logistic Regression Naive Bayes Decision Tree.

Paper ID

IJSARTV9I460440

Publication Date

April 13, 2023

Research Area

MCA

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