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Biased Unbiased News Detection Project

Biased & Unbiased News Detection Project Code, Document And Video Tutorial

Biasedunbieased

Abstract:

This project presents a system for automatically detecting biased and unbiased news articles using natural language processing (NLP) and machine learning techniques. The system analyzes the language and tone used in news articles to classify them as biased or unbiased. Experimental results demonstrate the effectiveness of the proposed system in accurately identifying biased news sources, providing readers with a valuable tool for making informed decisions.

Keywords: Biased News Detection, Unbiased News Detection, Natural Language Processing (NLP), Machine Learning, Text Classification, Sentiment Analysis, Named Entity Recognition, Topic Modeling, Fake News Detection, Media Literacy.

Project include:

  1. Synopsis

  2. PPT

  3. Research Paper

  4. Code

  5. Explanation video

  6. Documents

  7. Report

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This project aims to develop a system that can automatically detect biased and unbiased news articles. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

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