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Big Data Analytics in Cognitive Social Media and Literary Texts

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Cover of 'Big Data Analytics in Cognitive Social Media and Literary Texts'

Table of Contents

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    Book Overview
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    Chapter 1 The Concept of Cognitive Social Media and Cognitive Literary Studies
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    Chapter 2 Big Data Analytics for Market Prediction via Consumer Insight
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    Chapter 3 Deconstructive Big Data Analytics: Literary Texts Analysis Through Atlas.ti Software
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    Chapter 4 Study of Big Data Analytics Tool: Apache Spark
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    Chapter 5 Contemporary Social Media and IoT-Based Pandemic Control: Exploring Possibilities of Big Data Analytics for Healthcare Governance
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    Chapter 6 Analyzing Women Health-Related Quality of Life Using Sentiment Analysis on Social Media
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    Chapter 7 Necessity of Big Data Analytics in Social Media for Questioning the Existence and Survival of Women and the Marginalized People
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    Chapter 8 Big Data Analytics and Cybersecurity: Emerging Trends
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    Chapter 9 Seizing the Networked Crime: Legal Framework for the Governance of Social Media Crimes in India
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    Chapter 10 Toxic Masculinity and Inherent Misogyny on Social Media: Preventive Laws and Indian Judicial Approach
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    Chapter 11 Quantifying Human Sentiments Using Qualitative Approach with Semantic-Sentiment Analysis
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    Chapter 12 Cognitive Transformation Through Social Media
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    Chapter 13 Understanding Digital Diaspora as Cognitive Social Media: Necessity of Big Data Analytics for Peace and Harmony
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    Chapter 14 Data Analytics of Psychological Distress and Coping Among Fresh Migrant from North Eastern Region to Bengaluru City
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    Chapter 15 Security and Privacy Challenges for Big Data on Social Media
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    Chapter 16 Social Media: The Dark Horse of Market in Consumer Decision Journey
Attention for Chapter 1: The Concept of Cognitive Social Media and Cognitive Literary Studies
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Citations

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Summary Dimensions citations
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Chapter title
The Concept of Cognitive Social Media and Cognitive Literary Studies
Chapter number 1
Book title
Big Data Analytics in Cognitive Social Media and Literary Texts
Published by
Springer, Singapore, October 2021
DOI 10.1007/978-981-16-4729-1_1
Book ISBNs
978-9-81-164728-4, 978-9-81-164729-1
Authors

Rahaman, Valiur

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Professor > Associate Professor 1 17%
Student > Doctoral Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Arts and Humanities 1 17%
Linguistics 1 17%
Business, Management and Accounting 1 17%
Unknown 3 50%

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