Advances in Social Media Analysis electronic resource edited by Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker.
Material type: TextSeries: Studies in Computational IntelligencePublication details: Cham : Springer International Publishing : Imprint: Springer, 2015Description: VII, 151 p. 29 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319184586Subject(s): engineering | Artificial intelligence | Computational Intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics)DDC classification: 006.3 LOC classification: Q342Online resources: Click here to access onlineCase-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. The book will be useful to research students, academics and practitioners in the area of social media analysis. .
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