Cybercrime in Social Media

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advanced social media threat detection
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Asis Kumar Tripathy
B01=Pradeep Kumar Roy
Category1=Non-Fiction
Category=GPFC
Category=UY
Classic Ml Algorithm
computational social science
COP=United Kingdom
Cyberbullying
Decision Tree Classifier
Deep Learning Methods
Deep Learning Models
Delivery_Pre-order
digital forensics techniques
Emotion Detection
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fake News
Forensics
Hat Hackers
Hate Speech
Hate Speech Detection
Hope Speech
Language_English
Lifestyle Routine Activity Theory
Machine Learning
Ml Classifier
multilingual text classification
Natural Language Processing
Noisy Speech
online harassment analysis
PA=Not yet available
POS
POS Tag
Price_€50 to €100
PS=Forthcoming
Random Forest
Random Forest Classifiers
Recurrent Neural Networks
sentiment analysis methods
Social Bots
Social Engineering Attacks
softlaunch
Speaker Recognition
Speech Enhancement
SVM
SVM Classifier
Word Embedding
youth cybercrime research

Product details

  • ISBN 9781032302577
  • Weight: 440g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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This reference text presents the important components for grasping the potential of social computing with an emphasis on concerns, challenges, and benefits of the social platform in depth.

Features:

  • Detailed discussion on social-cyber issues, including hate speech, cyberbullying, and others
  • Discusses usefulness of social platforms for societal needs
  • Includes framework to address the social issues with their implementations
  • Covers fake news and rumor detection models
  • Describes sentimental analysis of social posts with advanced learning techniques

The book is ideal for undergraduate, postgraduate, and research students who want to learn about the issues, challenges, and solutions of social platforms in depth.

Dr. Pradeep Kumar Roy received the B. Tech degree in Computer Science and Engineering from BPUT University Odisha. He received his M. Tech and Ph. D. degree in Computer Science and Engineering from the National Institute of Technology Patna in 2015 and 2018, respectively. He received a Certificate of Excellence for securing a top rank in the M. Tech course. He is currently an Assistant Professor with the Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT) Surat, Gujarat, India. Earlier he worked in Vellore Institute of Technology, Vellore, Tamil Nadu, India. His area of specialization straddles across question answering, text mining, machine learning, information retrieval, social network, and wireless sensor networks. He is part of the technical program committee and chaired many technical sessions of International Conferences. He has published articles in reputed peer-reviewed journals, including IEEE Transaction on Artificial Intelligence, IEEE Transactions on Network Science and Engineering, Neural Processing Letters, IJIM, Neural Computing and Applications, Future Generation Computer Systems, and others. He has also published the conference proceedings in various international conferences.

Dr. Asis Kumar Tripathy is an Associate Professor in the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has more than ten years of teaching experience. He completed his Ph.D. from the National Institute of Technology, Rourkela, India, in 2016. His areas of research interests include wireless sensor networks, cloud computing, Internet of things and advanced network technologies. He has several publications in refereed journals, reputed conferences and book chapters to his credit. He has served as Program Committee Member in several conferences of repute. He has also been involved in many professional and editorial activities. He is Senior Member of IEEE and Member of ACM.