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Springer - Big Data Analytics in Cognitive Social Media Book

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Description

Explore the intersection of Big Data Analytics and cognitive science with this comprehensive volume from Springer. The book provides a deep look into the theory and praxis of extracting cognition-related information from both social media and literary texts. By moving beyond discipline-specific research, this work focuses on practical applications in knowledge extraction, prediction, and decision-making. Designed to support individual, social, and national development, the content is organized into three main sections. Readers can study various approaches associated with Big Data Analytics and examine critical topics regarding security and privacy. This text serves as a vital resource for understanding how data-driven insights can be applied to complex social and literary contexts.

Key Features

This Springer publication offers a comprehensive overview of Big Data Analytics theory and praxis.

The text focuses on extracting cognition-related information from social media and literary texts.

Learn how to apply analytics for knowledge extraction, prediction, and decision-making processes.

The content supports development at the individual, social, and national levels.

The book includes dedicated sections on various Big Data Analytics approaches and security and privacy.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 October 2022
Listed Since
14 September 2022

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