Amin Beheshti, Samira Ghodratnama, Mehdi Elahi, Helia Farhood

Social Data Analytics (eBook, ePUB)

• Format: ePub

Produktbeschreibung

The book covers a large body of knowledge to help practitioners and researchers understand the problems, concepts, methods and tools involved in modern social data analytics. The book includes a wealth of material to choose from for courses in data science and analytics.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 250
• Erscheinungstermin: 1. August 2022
• Englisch
• ISBN-13: 9781000644630
• Artikelnr.: 64001238

Autorenporträt

Amin Beheshti is Full Professor of Data Science and the Director of AI-enabled Processes Research Centre at Macquarie University, Sydney, Australia. Amin is also the head of the Data Analytics Research Lab and Adjunct Academic in Computer Science at UNSW Sydney. Amin completed his Ph.D. and Postdoc in Computer Science and Engineering at UNSW Sydney and holds both a master's and bachelor's degree in Computer Science, both with First Class Honours. Amin has been recognized as a high-quality researcher in Big-Data/Data/Process Analytics and served as Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair, and program committee member of top international conferences. Amin has contributed to many research and industry projects, and currently leading over 20 large research projects with highprofile companies. He is the leading author of several books in data, social, and process analytics, co-authored with other high-profile researchers.

Samira Ghodratnama is Senior Applied Machine Learning Scientist at Grainger Technology Group, USA, working on real-world problems related to Natural Language Processing (NLP). She is also a research fellow at Macquarie University, Sydney, Australia and Arizona State University, USA, working on complex research problems in the area of text mining, machine learning, and information extraction. Samira has extensive experience building data-centric applications. She holds a Ph.D. in Computer Science from Macquarie University, Sydney, Australia.

Mehdi Elahi is Associate Professor at the University of Bergen, Norway and Adjunct Professor at the Norwegian School of Economics, one of the leading business schools in Europe. He also holds an Honorary Associate Professor position at Macquarie University, Sydney, Australia. He is a co-author and WP-Leader of a large-scale SFI project (budget: 26 Million Euro), where he collaborates with the largest international industry players in the Media sector in Norway. Mehdi obtained his Ph.D. degree in Computer Science. His research has mainly focused on AI, Data Science, and Cognitive Science and their potential industrial applications such as recommendation and personalization systems.

Helia Farhood is Research Fellow in Data Science at Macquarie University, Sydney, Australia. Helia holds a Ph.D. in Computer Systems and Artificial Intelligence (AI) from the University of Technology Sydney (UTS), Sydney, Australia. She also holds a master's degree in Artificial Intelligence and a bachelor's degree in Computer Engineering with First Class Honours. Helia has extensive experience in Image and Video Processing, and her Ph.D. research focused on 3D reconstruction using light field technology. Helia's research interests include AI, Machine Learning, and Image Processing.

Inhaltsangabe

1. Social Data Analytics: Challenges and Opportunities 2. Organizing Social
Data 3. Curating Social Data 4. Social Media Text Analytics 5. Social Media
Image and Video Analytics 6. Summarizing Social Data 7. Storytelling with
Social Data 8. Social Data and Recommender Systems: The Future of
Personalization 9. Social Data Analytics Applications