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Fake News Detection System

#NLP #Deep Learning #Security #Python

Project Overview

Development of systems to detect fake news by combining advanced semantic representations with deep learning classification models.

Key Features

  • Semantic Embedding: Using word and sentence embeddings for rich text representation.
  • Classification: Implementing deep neural networks to distinguish between credible and fake information.
  • Evaluation: Rigorous testing on curated datasets of news articles.