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

006.31 AD VA

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