Advances in Social Media Analysis
Springer International Publishing (Verlag)
978-3-319-35618-1 (ISBN)
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.
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.
| Erscheinungsdatum | 14.10.2016 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | VII, 151 p. 29 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik | |
| Schlagworte | Affective computing • Artificial Intelligence • artificial intelligence (incl. robotics) • Computational Intelligence • Engineering • Engineering: general • Intelligent Techniques • Robotics • sentiment analysis • Social Media Analysis |
| ISBN-10 | 3-319-35618-6 / 3319356186 |
| ISBN-13 | 978-3-319-35618-1 / 9783319356181 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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