Advances in Social Media Analysis
(Sprache: Englisch)
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....
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....
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Klappentext zu „Advances in Social Media Analysis “
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.
Inhaltsverzeichnis zu „Advances in 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.
Bibliographische Angaben
- 2016, Softcover reprint of the original 1st ed. 2015, VII, 151 Seiten, Masse: 15,5 x 23,6 cm, Kartoniert (TB), Englisch
- Herausgegeben: Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker
- Verlag: Springer, Berlin
- ISBN-10: 3319356186
- ISBN-13: 9783319356181
Sprache:
Englisch
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