Advances in social media analysis /
Title By: Gaber, Mohamed Medhat [Edited by] | Cocea, Mihaela [Edited by] | Wiratunga, Nirmalie [Edited by] | Goker, Ayse [Edited by]
Material type:
BookSeries: Publisher: New York : Springer, c2015.Description: vii, 151 p. : ill. ; 25 cm.ISBN: 978-3319184579Subject(s): Data mining | Social media | User-generated content | Computational Intelligence | Artificial IntelligenceDDC classification: 006.31 AD VA Online resources: Location Map | Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 006.31 AD VA (Browse shelf) | Available | T0029672 |
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| 006.301 WE BI The Big Nine : | 006.30247948 BO AI AI for game developers / | 006.30285 JO AI AI application programming / | 006.31 AD VA Advances in social media analysis / | 006.31 BU FU Fundamentals of deep learning : | 006.31 CH SP Spark : | 006.31 ET MA Machine learning with microsoft technologies : |
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.
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.