In this video you will learn about what Fake News Detection is, how Natural Language Processing is used, why Fake news is a widespread issue in the world. This session is organized by Industry Relation IEEE Islamabad Section and delivered by Mr. Umer Farooq, working in the field of Artificial Intelligence, Data Science, Natural Language Processing and Software interfacing.
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Fake news, “A fictitious articles deliberately fabricated to deceive readers”, is a major concern in our society right now. Flashy headlines are used by social media outlets to increase advertisement revenue through clickbait. With the advancement in social networking & communication, fake news became a serious issue. To tackle this problem advanced technique like Natural Language Processing is used.
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To tackle the problem of fake news, world is working on development of tools to help human fact checkers identify hoaxes and deliberate misinformation in news stories using machine learning, natural language processing and artificial intelligence.
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1:48 Introduction
3:37 What is Fake News Detection
4:28 Implication
6:07 Dataset Exploration
7:28 NLP Models
9:38 Methodology
12:49 Methodology Chart
15:30 Tools and Techniques
16:27 Important libraries in Python
18:23 Conclusion
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