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...

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Corporate Author: SpringerLink (Online service)
Other Authors: Gaber, Mohamed Medhat. (Editor, http://id.loc.gov/vocabulary/relators/edt), Cocea, Mihaela. (Editor, http://id.loc.gov/vocabulary/relators/edt), Wiratunga, Nirmalie. (Editor, http://id.loc.gov/vocabulary/relators/edt), Goker, Ayse. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Studies in Computational Intelligence, 602
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-18458-6
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505 0 |a 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. 
520 |a 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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