Başlık:
Advances in Social Media Analysis
Yazar:
Gaber, Mohamed Medhat. editor.
ISBN:
9783319184586
Fiziksel Tanım:
VII, 151 p. 29 illus. online resource.
Series:
Studies in Computational Intelligence, 602
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.
Abstract:
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. .
Added Corporate Author:
Electronic Access:
http://dx.doi.org/10.1007/978-3-319-18458-6