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

This book explores the intersection of big data analytics with cognitive social media and literary texts, offering a comprehensive approach that combines theoretical frameworks with practical applications. The authors delve into how vast amounts of data generated on social media platforms can be interpreted through a literary lens, revealing insights into human behavior, social dynamics, and cultural shifts. The multi-disciplinary perspective provides readers with the tools to analyze not just the data itself, but also the narratives that emerge from it.

Throughout the work, G. R. Sinha, Sanjiv Sharma, and Valiur Rahaman emphasize the significance of cognitive approaches in understanding textual data. By blending concepts from data analytics, social cognition, and literary analysis, the authors present a novel methodology that can be employed across various fields such as communications, sociology, and literature. This exploration encourages a deeper appreciation for the stories told through data, highlighting the rich interplay between technology and human expression.