Big Data Analytics in Cognitive Social Media and Literary Texts: Theory and Praxis

This book provides a comprehensive overview of Big Data Analytics and its applications in extracting cognition-related information from social media and literary texts. It discusses various approaches, addresses security and privacy concerns, and focuses on the literary text as a valuable source of data in this field.

Format: Paperback / softback
Length: 300 pages
Publication date: 11 October 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the realm of Big Data Analytics, exploring its theoretical foundations and practical applications in extracting cognition-related information from social media and literary texts. It goes beyond the boundaries of discipline-specific academic research, focusing on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is organized into three main sections: the first examines various approaches associated with Big Data Analytics, the second explores the security and privacy concerns of big data in social media, and the third centers on the literary text as a valuable source of literary data in Big Data Analytics. By offering valuable insights into the etiology behind human cognition and its manifestation in social media and literary texts, this book serves as a valuable resource for scholars interested in analytics applied to literature, history, philosophy, linguistics, literary theory, media and communication studies, as well as computational/digital humanities.

Weight: 510g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811647314
Edition number: 1st ed. 2021