Skip to content

Latest commit

 

History

History
14 lines (12 loc) · 623 Bytes

README.md

File metadata and controls

14 lines (12 loc) · 623 Bytes

Fake-News-Detection


The challenge to combat the menace of fake news is essential for the maintenance of authenticity of various media sources. We have used machine learning and natural language processing to identify the fake news which can be used to combat the fake news problem.

We have used two models in our project:-

  • Attention Integrate(AI) model
  • 3HAN (Hierarchical Attention Network)

We have focused on using the attention mechanism to check the relevancy of words and sentences in the articles. We merged the context info from both headlines and articles to decide the genuineness of the article.