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Advances in social media analysis

Gaber, Mohamed Medhat.

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Advances in social media analysis

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in social media analysis/ edited 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.
[NT 15003449]:	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.
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.379..

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:

562972
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in social media analysis
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020 $a 9783319184586 (electronic bk.)
020 $a 9783319184579 (paper)
024 7 $a 10.1007/978-3-319-18458-6 $2 doi
035 $a 978-3-319-18458-6
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041 0 $a eng
050 4 $a QA76.9.D343
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072 7 $a COM004000 $2 bisacsh
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090 $a QA76.9.D343 $b A244 2015
245 0 0 $a Advances in social media analysis $h [electronic resource] / $c edited by Mohamed Medhat Gaber ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a vii, 151 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.602
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.
650 0 $a Data mining. $3 562972
650 0 $a Social media. $3 786190
650 0 $a User-generated content. $3 931758
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Gaber, Mohamed Medhat. $3 1085658
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.379. $3 1565969
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-18458-6
950 $a Engineering (Springer-11647)