Advances in Social Media Analysis

Herausgegeben:Gaber, Mohamed Medhat; Cocea, Mihaela; Wiratunga, Nirmalie; Goker, Ayse

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 602
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-18457-9
• 2015
• Seitenzahl: 160
• Erscheinungstermin: 25. Juni 2015
• Englisch
• Abmessung: 241mm x 160mm x 15mm
• Gewicht: 378g
• ISBN-13: 9783319184579
• ISBN-10: 3319184571
• Artikelnr.: 42553337

Inhaltsangabe

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.