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Advances in social media analysis
~
Gaber, Mohamed Medhat.
Advances in social media analysis
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advances in social media analysisedited by Mohamed Medhat Gaber ... [et al.].
other author:
Gaber, Mohamed Medhat.
Published:
Cham :Springer International Publishing :2015.
Description:
vii, 151 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Data mining.
Online resource:
http://dx.doi.org/10.1007/978-3-319-18458-6
ISBN:
9783319184586 (electronic bk.)
Advances in social media analysis
Advances in social media analysis
[electronic resource] /edited by Mohamed Medhat Gaber ... [et al.]. - Cham :Springer International Publishing :2015. - vii, 151 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6021860-949X ;. - Studies in computational intelligence ;v. 216..
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. The book will be useful to research students, academics and practitioners in the area of social media analysis.
ISBN: 9783319184586 (electronic bk.)
Standard No.: 10.1007/978-3-319-18458-6doiSubjects--Topical Terms:
184440
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Advances in social media analysis
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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.
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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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Gaber, Mohamed Medhat.
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Engineering (Springer-11647)
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000000118055
電子館藏
1圖書
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EB QA76.9.D343 A244 2015
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1 records • Pages 1 •
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Multimedia
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http://dx.doi.org/10.1007/978-3-319-18458-6
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