Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Big Data Analytics in Cognitive Social Media and Literary Texts: Theory and PRAXIS

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

Sharma, Sanjiv
Rahaman, Valiur
Sinha, G. R.

Hardcover

General ReferenceGeneral SociologyProbability & Statistics

ISBN10: 9811647283
ISBN13: 9789811647284
Publisher: Springer
Published: Oct 11 2021
Pages: 300
Weight: 1.41
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English
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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