Advances in social media analysis /
Edited by Mohamed Medhat Gaber ... [et al.]
- New York : Springer, c2015.
- vii, 151 p. : ill. ; 25 cm.
- Studies in computational intelligence ; 602 .
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.
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.
978-3319184579
Data mining Social media User-generated content Computational Intelligence Artificial Intelligence