Sharma sanjiv (71 resultados)

Condición: New. pp. xviii + 336 Illus.

Condición: New. pp. xviii + 336.

Condición: New. pp. xviii + 336.

Condición: New.

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.

Condición: New.

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

hardcover. Condición: Very Good.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 332 | Sprache: Englisch | Produktart: Bücher | This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.…

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: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Condición: New. In English.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.…

Condición: New.

Taschenbuch. Condición: Neu. Big Data Analytics in Cognitive Social Media and Literary Texts | Theory and Praxis | Sanjiv Sharma (u. a.) | Taschenbuch | xxix | Englisch | 2022 | Springer | EAN 9789811647314 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condición: New.

Condición: New. In English.

Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Hardback. Condición: New. 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.…