Advances in social media analysis
- Responsibility
- Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker, editors.
- Digital
- text file
- Publication
- Cham : Springer, 2015.
- Copyright notice
- ©2015
- Physical description
- 1 online resource (vii, 151 pages) : illustrations
- Series
- Studies in computational intelligence ; 602. 1860-949X
Online
Available online
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Description
Creators/Contributors
- Contributor
- Gaber, Mohamed Medhat, editor.
- Cocea, Mihaela, editor.
- Wiratunga, Nirmalie, editor.
- Goker, Ayse, editor.
Contents/Summary
- 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.
- Summary
- 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.
Subjects
Bibliographic information
- Publication date
- 2015
- Copyright date
- 2015
- Series
- Studies in computational ontelligence, 1860-949X ; volume 602
- Note
- Includes author index.
- ISBN
- 9783319184586 (electronic bk.)
- 331918458X (electronic bk.)
- 3319184571 (print)
- 9783319184579 (print)
- 9783319184579
- DOI
- 10.1007/978-3-319-18458-6
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