The Fake News Detection using Dependency Tree based Recurrent Neural Network

Main Article Content

Kavya Parthiban
Shruthi S
Srivathshan KS

Abstract

The objective of this research is to solve the fake news detection problem through a linguistic and a neural network approach, based only on its content. The problem is defined as the task of identifying news with the occurrence of intentional deceptions among those which stand to merely provide accurate information. The paper provides a sequential hybrid method, combining both a linguistic understanding and a recurrent neural network model, that aims at identifying fake news.

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How to Cite
ParthibanK., SS., & KSS. (2020). The Fake News Detection using Dependency Tree based Recurrent Neural Network. Probyto Journal of AI Research, 1(01). Retrieved from https://journal.probyto.com/index.php/probyto-ai-research/article/view/9
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Articles

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