Big Data Analytics in Cognitive Social Media and Literary Texts - Theory and Praxis (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	October 2021
First published:	2021
Editors:	Sanjiv Sharma • Valiur Rahaman • G. R. Sinha
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	300
Edition:	1st ed. 2021
ISBN-13:	978-981-16-4728-4
Categories:	Books > Reference & Interdisciplinary > Communication studies > Media studies Books > Science & Mathematics > Mathematics > Probability & statistics Books > Language & Literature > Literature: history & criticism > Literary studies > General
LSN:	981-16-4728-3
Barcode:	9789811647284

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