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AI-driven: social media analytics and cybersecurity

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI-driven: social media analytics and cybersecurity/ edited by Wael M. S. Yafooz, Yousef Al-Gumaei.
other author:	Yafooz, Wael M. S.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	x, 336 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Social Media Analytics -- The Role of Social Media Networks in Enhancing School Libraries -- Machine Learning Approaches for Sentiment Analysis on Social Media -- Harnessing Supervised Machine Learning for Sentiment Analysis in Urdu Text -- Early Depression Detection from Social Media State of the Art Approaches -- Classification of student stress levels using a hybrid machine learning model -- From Disease Detection to Health Campaigns The Role of Social Media Analytics in Public Health -- Effect Of Social Media Networks on People' Bahaviour In The Light Of The Fourth Technological Revolution A Perspective From Their Families -- An Efficient High Speed Feature Extraction Analysis Methods of Digital Images in Social Media Platforms -- Cybersecurity and Digital Safety -- Quantum Computing Transforming Cybersecurity and Social Media in the Digital Age -- Factors influencing on the cybersecurity in an emerging economy -- Innovative Security Measures A Comprehensive Framework for Safeguarding the Internet of Things -- Adaptive Social Network Quality ASNQ Model A Conceptual Quality Model -- Advanced Technologies and Their Broader Impacts -- Authorship Attribution Performance Model Evaluation -- Digital Storytelling Developing 21st Century Skills in Arabic Language Education -- Effective Techniques in Lexicon Creation Moroccan Arabic Focus -- The Role of Future Technology in the Preparation of Prospective Teachers -- A Website Development of UCSI e Market Hub Transforming Unwanted Possessions -- Investigating LLMs Potential in Software Requirements Evaluation -- Advancements and Applications of Multimodal Large Language Models Integration, Challenges, and Future Directions.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-80334-5
ISBN:	9783031803345

AI-driven: social media analytics and cybersecurity
AI-driven: social media analytics and cybersecurity[electronic resource] /edited by Wael M. S. Yafooz, Yousef Al-Gumaei. - Cham :Springer Nature Switzerland :2025. - x, 336 p. :ill. (chiefly color), digital ;24 cm. - Studies in computational intelligence,v. 11801860-9503 ;. - Studies in computational intelligence ;v. 1180..

Social Media Analytics -- The Role of Social Media Networks in Enhancing School Libraries -- Machine Learning Approaches for Sentiment Analysis on Social Media -- Harnessing Supervised Machine Learning for Sentiment Analysis in Urdu Text -- Early Depression Detection from Social Media State of the Art Approaches -- Classification of student stress levels using a hybrid machine learning model -- From Disease Detection to Health Campaigns The Role of Social Media Analytics in Public Health -- Effect Of Social Media Networks on People' Bahaviour In The Light Of The Fourth Technological Revolution A Perspective From Their Families -- An Efficient High Speed Feature Extraction Analysis Methods of Digital Images in Social Media Platforms -- Cybersecurity and Digital Safety -- Quantum Computing Transforming Cybersecurity and Social Media in the Digital Age -- Factors influencing on the cybersecurity in an emerging economy -- Innovative Security Measures A Comprehensive Framework for Safeguarding the Internet of Things -- Adaptive Social Network Quality ASNQ Model A Conceptual Quality Model -- Advanced Technologies and Their Broader Impacts -- Authorship Attribution Performance Model Evaluation -- Digital Storytelling Developing 21st Century Skills in Arabic Language Education -- Effective Techniques in Lexicon Creation Moroccan Arabic Focus -- The Role of Future Technology in the Preparation of Prospective Teachers -- A Website Development of UCSI e Market Hub Transforming Unwanted Possessions -- Investigating LLMs Potential in Software Requirements Evaluation -- Advancements and Applications of Multimodal Large Language Models Integration, Challenges, and Future Directions.

This book presents state-of-the-art research, conceptual frameworks, and practical solutions, focusing on the intersection of these vital fields. The ever-evolving digital landscape has fostered a close relationship between social media and cybersecurity. Both social media analytics and cybersecurity are prominent research areas that shape the lives of individuals, organizations, and communities. It covers three key categories: First, social media analytics, which explores how data from platforms like Twitter and Facebook is harnessed for insights, sentiment analysis, and trend predictions. Second, cybersecurity and digital safety, which addresses emerging threats and explores tools and strategies to secure digital spaces. Third, advanced technologies and their broader impacts, which examines the technologies shaping social media platforms. This book is an invaluable resource for researchers, professionals, and students, providing comprehensive insights into the application of advanced technologies and analytical techniques for safeguarding digital environments. It is essential reading for anyone interested in social media analytics, digital safety, and the future of technology.

ISBN: 9783031803345

Standard No.: 10.1007/978-3-031-80334-5doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

AI-driven: social media analytics and cybersecurity
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520 $a This book presents state-of-the-art research, conceptual frameworks, and practical solutions, focusing on the intersection of these vital fields. The ever-evolving digital landscape has fostered a close relationship between social media and cybersecurity. Both social media analytics and cybersecurity are prominent research areas that shape the lives of individuals, organizations, and communities. It covers three key categories: First, social media analytics, which explores how data from platforms like Twitter and Facebook is harnessed for insights, sentiment analysis, and trend predictions. Second, cybersecurity and digital safety, which addresses emerging threats and explores tools and strategies to secure digital spaces. Third, advanced technologies and their broader impacts, which examines the technologies shaping social media platforms. This book is an invaluable resource for researchers, professionals, and students, providing comprehensive insights into the application of advanced technologies and analytical techniques for safeguarding digital environments. It is essential reading for anyone interested in social media analytics, digital safety, and the future of technology.
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