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.
表中的内容
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.购买此电子书可免费获赠一本!
语言 英语 ● 格式 PDF ● 网页 151 ● ISBN 9783319184586 ● 编辑 Mohamed Medhat Gaber & Mihaela Cocea ● 出版者 Springer International Publishing ● 市 Cham ● 国家 CH ● 发布时间 2015 ● 下载 24 个月 ● 货币 EUR ● ID 4298604 ● 复制保护 社会DRM