Advances in Social Media Analysis
Series: Studies in Computational Intelligence; 602;
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Product details:
- Edition number Softcover reprint of the original 1st ed. 2015
- Publisher Springer International Publishing
- Date of Publication 9 October 2016
- Number of Volumes 1 pieces, Previously published in hardcover
- ISBN 9783319356181
- Binding Paperback
- See also 9783319184579
- No. of pages151 pages
- Size 235x155 mm
- Weight 2526 g
- Language English
- Illustrations VII, 151 p. 29 illus. Illustrations, black & white 0
Categories
Long description:
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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Table of Contents:
Case-Studies in Mining User-Generated Reviews for Recommendation.- Mining Newsworthy Topics from Social Media.- Sentiment Analysis Using Supervised Learning with Domain-Adaptation and Sentence-Based Analysis.- Pattern-based Emotion Classification on Social Media.- Entity-based Opinion Mining from Text and Multimedia.- Predicting Emotion Labels for Chinese Microblog Texts.
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