Isbn: 9781032529752 - text and social media analytics for fake news and hate speech detection (8 resultados)

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: Brand New. 324 pages. 6.14x0.73x9.21 inches. In Stock.

Condición: New. Dr. Hemant Kumar Soni has done M. Tech (IT) from Bundelkhand University, Jhansi, Uttar Pradesh, India and Doctoral degree in Computer Science and Engineering from Amity University Madhya Pradesh, Gwalior, India. He has 26 years of teaching experie.

Taschenbuch. Condición: Neu. Neuware - 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 speech on social media platforms. - 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 GitHub repository links to aid understanding The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.…

Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Condición: new. Paperback. 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 speech on social media platforms.Covers various approaches, algorithms, and methodologies for fake news and hate speech detectionExplains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligenceDiscusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platformsEmphasizes the role of multilingual and multimodal processing to detect fake newsIncludes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understandingThe text is for professionals and scholars of various disciplines interested in fake news and hate speech detection. 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 such instances. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…