Big Data Analytics in Cognitive Social Media and Literary Texts

Theory and Praxis

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Éditeur :

Springer


Paru le : 2021-10-10



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Description
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.
Pages
300 pages
Collection
n.c
Parution
2021-10-10
Marque
Springer
EAN papier
9789811647284
EAN PDF
9789811647291

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
7731 Ko
Prix
158,24 €
EAN EPUB
9789811647291

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
25815 Ko
Prix
158,24 €

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