東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Social media content analysis = natu...

Wong, Kam-Fai.

Linked to FindBook

Google Book

Amazon

博客來

Social media content analysis = natural language processing and beyond /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Social media content analysis/ edited by Kam-Fai Wong...[et al.].
Reminder of title:	natural language processing and beyond /
other author:	Wong, Kam-Fai.
Published:	Singapore :World Scientific, : c2018.,
Description:	1 online resource (488 p.) :ill. (some col.)
Subject:	Online social networks - Social aspects. -
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/10535#t=toc
ISBN:	9789813223615

Social media content analysis = natural language processing and beyond /
Social media content analysisnatural language processing and beyond /[electronic resource] :edited by Kam-Fai Wong...[et al.]. - 1st ed. - Singapore :World Scientific,c2018. - 1 online resource (488 p.) :ill. (some col.) - Series on language processing, pattern recognition, and intelligent systems ;vol. 3. - Series on language processing, pattern recognition, and intelligent systems ;v. 3.

Includes bibliographical references.

"Social media platforms have been ubiquitously used in our daily lives and are steadily transforming the ways people communicate, socialize and conduct business. However, the growing popularity of social media adversely leads to wild spread of unreliable information. This in turn inevitably creates serious pollution problem of the global social media environment, which is harmful against humanity. For example, President Donald Trump used social media strategically to win in the 2016 USA Presidential Election. But it was found that many messages he delivered over social media were unproven, if not untrue. This problem must be prevented at all cost and as soon as possible. Thus, analysis of social media content is a pressing issue. It is a timely and important research subject worldwide. However, the short and informal nature of social media messages renders conventional content analysis, which is based on natural language processing (NLP), ineffective. This volume consists of a collection of highly relevant scientific articles published by the authors in different international conferences and journals, and is divided into three distinct parts: (I) search and filtering; (II) opinion and sentiment analysis; and (III) event detection and summarization. This book presents the latest advances in NLP technologies for social media content analysis, especially content on microblogging platforms such as Twitter and Weibo."--Publisher's website.

Mode of access: World Wide Web.

ISBN: 9789813223615Subjects--Topical Terms:

1037055
Online social networks
--Social aspects.

LC Class. No.: HM742 / .S63 2018

Dewey Class. No.: 302.231

Social media content analysis = natural language processing and beyond /
LDR:02508nmm a2200265 a 4500 001 2139494
005 20170512182738.7
006 m o d
007 cr cn|||||||||
008 181129s2018 si a ob 000 0 eng d
020 $a 9789813223615 $q (electronic bk.)
020 $z 9789813223608 $q (hbk.)
035 $a 00010535
040 $a WSPC $b eng $c WSPC
050 0 4 $a HM742 $b .S63 2018
082 0 4 $a 302.231 $2 23
245 0 0 $a Social media content analysis $h [electronic resource] : $b natural language processing and beyond / $c edited by Kam-Fai Wong...[et al.].
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2018.
300 $a 1 online resource (488 p.) : $b ill. (some col.)
490 1 $a Series on language processing, pattern recognition, and intelligent systems ; $v vol. 3
504 $a Includes bibliographical references.
520 $a "Social media platforms have been ubiquitously used in our daily lives and are steadily transforming the ways people communicate, socialize and conduct business. However, the growing popularity of social media adversely leads to wild spread of unreliable information. This in turn inevitably creates serious pollution problem of the global social media environment, which is harmful against humanity. For example, President Donald Trump used social media strategically to win in the 2016 USA Presidential Election. But it was found that many messages he delivered over social media were unproven, if not untrue. This problem must be prevented at all cost and as soon as possible. Thus, analysis of social media content is a pressing issue. It is a timely and important research subject worldwide. However, the short and informal nature of social media messages renders conventional content analysis, which is based on natural language processing (NLP), ineffective. This volume consists of a collection of highly relevant scientific articles published by the authors in different international conferences and journals, and is divided into three distinct parts: (I) search and filtering; (II) opinion and sentiment analysis; and (III) event detection and summarization. This book presents the latest advances in NLP technologies for social media content analysis, especially content on microblogging platforms such as Twitter and Weibo."--Publisher's website.
538 $a Mode of access: World Wide Web.
588 $a Description based on online resource; title from PDF title page (viewed October 12, 2017)
650 0 $a Online social networks $x Social aspects. $3 1037055
650 0 $a Social media. $3 786190
650 0 $a Natural language processing (Computer science) $3 565309
650 0 $a Content analysis (Communication) $3 525810
650 0 $a Electronic books. $3 855788
700 1 $a Wong, Kam-Fai. $3 3315517
830 0 $a Series on language processing, pattern recognition, and intelligent systems ; $v v. 3 $3 3315518
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10535#t=toc