£111.04

Springer - Big Data Analytics in Cognitive Social Media Texts

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Description

Explore the intersection of data science and human cognition with Big Data Analytics in Cognitive Social Media and Literary Texts: Theory and Praxis. Published by Springer, this book offers a deep look into how big data methods extract cognition-related information from both social media platforms and literary works. This text moves beyond narrow academic research to focus on practical applications in knowledge extraction, prediction, and decision-making. It is designed to support development at the individual, social, and national levels by providing a framework for understanding complex data patterns. The content is structured into three clear sections. The first part examines various approaches to Big Data Analytics, while subsequent sections address important topics such as security and privacy. This resource is an essential guide for those looking to understand how large-scale data analysis can be applied to social and textual contexts to drive meaningful insights.

Key Features

Provides a comprehensive overview of the theory and praxis of Big Data Analytics applied to social media and literary texts.

Focuses on practical knowledge extraction, prediction, and decision-making to support individual and national development.

Transcends discipline-specific academic research to offer a broader perspective on data analytics.

Explores methods for extracting cognition-related information from diverse textual sources.

Includes dedicated sections addressing important considerations regarding security and privacy in data analytics.

Product Specifications

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

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