Data Analytics for Social Microblogging Platforms

1st Edition - November 4, 2022
Authors: Soumi Dutta, Asit Kumar Das, Saptarshi Ghosh, Debabrata Samanta
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 7 8 5 - 8
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 7 2 3 0 - 7

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… Read more

Data Analytics for Social Microblogging Platforms

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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.

Cover image
Title page
Table of Contents
Copyright
Dedication
About the authors
Preface
Acknowledgments
About the book
Part 1: Introduction of intelligent information filtering and organization systems for social microblogging sites
Chapter 1: Introduction to microblogging sites
Abstract
1.1. Introduction
1.2. Online social networking sites
1.3. Advantages and disadvantages of social networking
1.4. Microblogging sites
1.5. Information of social microblogging sites
1.6. Challenges in using microblogging sites
1.7. Background of the Twitter microblogging site
1.8. Motivation of research
1.9. Challenges and requirements of multi-document summarization
1.10. Contributions of this research
1.11. Conclusion
References
Chapter 2: Literature review on data analytics for social microblogging platforms
Abstract
2.1. Introduction
2.2. Attribute selection and its application in spam detection
2.3. Summarization with various methods
2.4. Cluster analysis of microblogs
2.5. Conclusion
References
Chapter 3: Data collection using Twitter API
Abstract
3.1. Introduction
3.2. Experimental dataset description
3.3. Data preprocessing
3.4. Removal of user names and URLs
3.5. Converting emojis and emoticons to words
3.6. Conclusion
References
Part 2: Microblogging dataset applications and implications
Chapter 4: Attribute selection to improve spam classification
Abstract
4.1. Introduction
4.2. Literature survey
4.3. Methodology for classification
4.4. Experimental dataset
4.5. Evaluating performance
4.6. Conclusion
References
Chapter 5: Ensemble summarization algorithms for microblog summarization
Abstract
5.1. Introduction
5.2. Base summarization algorithms
5.3. Unsupervised ensemble summarization
5.4. Supervised ensemble summarization
5.5. Experiments and results
5.6. Demonstrating the input and output of summarization algorithms through an example
5.7. Conclusion
References
Chapter 6: Graph-based clustering technique for microblog clustering
Abstract
6.1. Introduction
6.2. Related work
6.3. Background studies
6.4. Proposed methodology
6.5. Results and discussion
6.6. Conclusion
References
Chapter 7: Genetic algorithm-based microblog clustering technique
Abstract
7.1. Introduction
7.2. Related work
7.3. Clustering using genetic algorithms and K-means
7.4. Evaluating performance
7.5. Experimental dataset
7.6. Conclusion
References
Part 3: Attribute selection to improve spam classification
Chapter 8: Feature selection-based microblog clustering technique
Abstract
8.1. Introduction
8.2. Related work
8.3. Microblog clustering algorithms
8.4. Dataset for clustering algorithms
8.5. Experimental results
8.6. Conclusion
References
Chapter 9: Dimensionality reduction techniques in microblog clustering models
Abstract
9.1. Introduction
9.2. Literature survey
9.3. Proposed methodology
9.4. Dataset
9.5. Results and discussion
9.6. Conclusion
References
Chapter 10: Conclusion and future directions
Abstract
10.1. Introduction
10.2. Summary of contributions
10.3. Future research directions
References
Index

Soumi Dutta

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

Affiliations and expertise

Institute of Engineering and Management, Kolkata, West Bengal, India

Asit Kumar Das

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.

Affiliations and expertise

Indian Institute of Engineering Science and Technology, Shibpur, India

Saptarshi Ghosh

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.

Affiliations and expertise

Indian Institute of Technology Kharagpur, India

Debabrata Samanta

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.

Affiliations and expertise

Associate Professor, Department of Computer Science, CHRIST University, Bangalore, India