Overview
- Recent Research in Intelligent Techniques for Social Media Analysis
- Presents Applications of Computational Intelligence to Social Media including Affective Computing and Sentiment Analysis
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 602)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This volume presents a collection of carefully selected contributions in the area of social media analysis.
Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research.
The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book.
The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website.
The book will be useful to research students, academics and practitioners in the area of social media analysis.
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Editors and Affiliations
Bibliographic Information
Book Title: Advances in Social Media Analysis
Editors: Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-18458-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-18457-9Published: 25 June 2015
Softcover ISBN: 978-3-319-35618-1Published: 09 October 2016
eBook ISBN: 978-3-319-18458-6Published: 05 June 2015
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VII, 151
Number of Illustrations: 29 b/w illustrations