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Books > Language & Literature > Literature: history & criticism > Literary studies
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Big Data Analytics in Cognitive Social Media and Literary Texts - Theory and Praxis (Hardcover, 1st ed. 2021)
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Big Data Analytics in Cognitive Social Media and Literary Texts - Theory and Praxis (Hardcover, 1st ed. 2021)
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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.
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