Advances in Social Media Analysis

Softcover Nachdruck of the original 1. Auflage 2015
ISBN: 978-3-319-35618-1
Verlag: Springer International Publishing

Buch, Englisch, Band 602, 151 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 2526 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Gaber, Mohamed Medhat

Goker, Ayse

Cocea, Mihaela

Wiratunga, Nirmalie

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

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.