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Fake News Detection Using Deep Learning by samal is a document available to read on EtoBox.
What is Fake News Detection Using Deep Learning about?
The document discusses the development of a deep learning-based model for detecting fake news on social media platforms, particularly Twitter. It highlights the challenges of identifying fake news due to the complexities of language and the influence of social media, and proposes a hybrid approach combining machine learning and natural language processing. The project aims to enhance the credibility inference of news articles by analyzing various features and relationships among news creators and subjects.
- Author
- samal
- Language
- EN