Advances in Social Media Analysis (eBook)

Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker (Herausgeber)

eBook Download: PDF

2015 | 2015
VII, 151 Seiten
Springer International Publishing (Verlag)
978-3-319-18458-6 (ISBN)

Infos

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.  

Inhalt

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.

Produkt-Details

• Erscheint lt. Verlag: 5.6.2015
• Reihe/Serie: Studies in Computational Intelligence
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Technik
• Schlagworte: Affective computing • Computational Intelligence • Intelligent Techniques • sentiment analysis • Social Media Analysis
• ISBN-10: 3-319-18458-X / 331918458X
• ISBN-13: 978-3-319-18458-6 / 9783319184586