Data Analytics for Social Microblogging Platforms, First Edition

  • 6h 4m
  • Asit Kumar Das, Debabrata Samanta, Saptarshi Ghosh, Soumi Dutta
  • Elsevier Science and Technology Books, Inc.
  • 2022

Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.

  • Investigates various methodologies and algorithms for data summarization, clustering and classification
  • Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems
  • Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets

About the Author

Soumi Dutta works in the Institute of Engineering and Management, Kolkata, West Bengal, India.

Asit Kumar Das is Professor of Computer Science and Technology, at the Indian Institute of Engineering Science and Technology Shibpur, Howrah. He is also the Head of the Center of Healthcare Science and Technology of the Institute. His area of research interest includes data mining and pattern recognition, social networks, bioinformatics, machine learning and soft computing, text, audio and video data analysis.

Dr. Ghosh is an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India. His primary research interests are in social network analysis, legal data analytics, and algorithmic bias and fairness. His research uses techniques from machine learning, natural language processing, information retrieval, and complex network theory. He received his PhD in Computer Science from IIT Kharagpur in 2013. He is a Humboldt Post-doctoral research fellow at the Max Planck Institute for Software Systems (MPI-SWS), Germany. He has also been an Assistant Professor at the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, India.

Dr. Debabrata Samanta is presently working as Associate Professor in Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. He has successfully completed six Consultancy Projects. He has received funding 8,110 USD under Open Access, Publication fund. He has received funding under the International Travel Support Scheme in 2019 for attending a conference in Thailand. He has received Travel Grant for speaker in Conference, Seminar etc for two years from July 2019. He is the owner of 21 Patents (3 Design Indian Patent and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyright. He has authored and coauthored over 208 research papers in international journals (SCI/SCIE/ESCI/Scopus) and conferences including IEEE, Springer and Elsevier Conference proceedings. He has received “Scholastic Award” at 2nd International conference on Computer Science and IT application, CSIT-2011, Delhi, India. He has presented various papers at international conferences and received Best Paper awards. He is the author and co-authors of 08 Book Chapters. He also serves as acquisition editor for Springer, Wiley, CRC, Scrivener Publishing LLC, Beverly, USA. and Elsevier. He is a Professional IEEE Member, an Associate Life Member of Computer Society of India (CSI) and a Life Member of Indian Society for Technical Education (ISTE). He is a Convener, Keynote speaker, Session chair, Co-chair, Publicity chair, Publication chair, Advisory Board, Technical Program Committee members in many prestigious International and National conferences. He was an invited speaker at several Institutions.

In this Book

  • About the Book
  • Introduction to Microblogging Sites
  • Literature Review on Data Analytics for Social Microblogging Platforms
  • Data Collection Using Twitter API
  • Attribute Selection to Improve Spam Classification
  • Ensemble Summarization Algorithms for Microblog Summarization
  • Graph-Based Clustering Technique for Microblog Clustering
  • Genetic Algorithm-Based Microblog Clustering Technique
  • Feature Selection-Based Microblog Clustering Technique
  • Dimensionality Reduction Techniques in Microblog Clustering Models
  • Conclusion and Future Directions