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Advances in social media analysis[el...

Gaber, Mohamed Medhat.

Advances in social media analysis[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.312
書名/作者:	Advances in social media analysis/ edited by Mohamed Medhat Gaber ... [et al.].
其他作者:	Gaber, Mohamed Medhat.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	vii, 151 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Data mining.
標題:	Social media.
標題:	User-generated content.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319184586 (electronic bk.)
ISBN:	9783319184579 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-18458-6

Advances in social media analysis[electronic resource] /
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:

337740
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in social media analysis[electronic resource] /
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245 0 0 $a Advances in social media analysis $h [electronic resource] / $c edited by Mohamed Medhat Gaber ... [et al.].
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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.
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650 0 $a Social media. $3 350802
650 0 $a User-generated content. $3 468100
650 1 4 $a Engineering. $3 372756
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650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
700 1 $a Gaber, Mohamed Medhat. $3 512188
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