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.