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Fake News Detection Using Data Analytics
Paperback

Fake News Detection Using Data Analytics

$63.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

In an era where misinformation spreads rapidly online, Fake News Detection Using Data Analytics offers a comprehensive guide to identifying and combating fake news through advanced data-driven techniques. This book explores key concepts in machine learning, natural language processing, and network analysis to detect false information across social media and news platforms. Readers will learn how to collect, pre-process, and analyse data, build effective fake news detection models, and implement real-time monitoring systems. With practical case studies and insights into ethical challenges, this book is an essential resource for data scientists, journalists, and anyone interested in preserving the integrity of information in the digital world.

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MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
7 February 2025
Pages
72
ISBN
9786208428785

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

In an era where misinformation spreads rapidly online, Fake News Detection Using Data Analytics offers a comprehensive guide to identifying and combating fake news through advanced data-driven techniques. This book explores key concepts in machine learning, natural language processing, and network analysis to detect false information across social media and news platforms. Readers will learn how to collect, pre-process, and analyse data, build effective fake news detection models, and implement real-time monitoring systems. With practical case studies and insights into ethical challenges, this book is an essential resource for data scientists, journalists, and anyone interested in preserving the integrity of information in the digital world.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
7 February 2025
Pages
72
ISBN
9786208428785