CRC Press
Text and Social Media Analytics for Fake News and Hate Speech Detection
Product Code:
9781032526621
ISBN13:
9781032526621
Condition:
New
$147.72
Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speeches on social media platforms. Features Covers various approaches, algorithms and methodologies for fake news and hate speech detection Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. Emphasizes the role of multilingual and multimodal processing to detect fake news Includes research on different optimization techniques, case studies on the identification, prevention and social impact of fake news, and GiT Hub repository links to aid understanding The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection--
Author: Hemant Kumar Soni, G. R. Sinha, Sanjiv Sharma |
Publisher: CRC Press |
Publication Date: Aug 21, 2024 |
Number of Pages: NA pages |
Language: English |
Binding: Hardcover |
ISBN-10: 1032526629 |
ISBN-13: 9781032526621 |
Text and Social Media Analytics for Fake News and Hate Speech Detection
$147.72
Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speeches on social media platforms. Features Covers various approaches, algorithms and methodologies for fake news and hate speech detection Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. Emphasizes the role of multilingual and multimodal processing to detect fake news Includes research on different optimization techniques, case studies on the identification, prevention and social impact of fake news, and GiT Hub repository links to aid understanding The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection--
Author: Hemant Kumar Soni, G. R. Sinha, Sanjiv Sharma |
Publisher: CRC Press |
Publication Date: Aug 21, 2024 |
Number of Pages: NA pages |
Language: English |
Binding: Hardcover |
ISBN-10: 1032526629 |
ISBN-13: 9781032526621 |