高雄醫學大學圖書館 |

語系/ Language: 繁體中文

登入

回首頁

Social media content analysisnatural...

Wong, Kam-Fai.

Social media content analysisnatural language processing and beyond /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Social media content analysis/ edited by Kam-Fai Wong...[et al.].
其他題名:	natural language processing and beyond /
其他作者:	Wong, Kam-Fai.
出版者:	Singapore :World Scientific, : c2018.,
版本:	1st ed.
面頁冊數:	1 online resource (488 p.) :ill. (some col.) :
提要註:	"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.
標題:	Electronic books. -
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/10535#t=toc
ISBN:	9789813223615

Social media content analysisnatural 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. 2..

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:

334297
Electronic books.

LC Class. No.: HM742 / .S63 2018

Dewey Class. No.: 302.231

Social media content analysisnatural language processing and beyond /
LDR:02508nam a2200265 a 4500 001 315529
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 Electronic books. $3 334297
650 0 $a Content analysis (Communication) $3 375182
650 0 $a Natural language processing (Computer science) $3 436039
650 0 $a Social media. $3 309887
650 0 $a Online social networks $x Social aspects. $3 436038
700 1 $a Wong, Kam-Fai. $3 436037
830 0 $a Series on language processing, pattern recognition, and intelligent systems ; $v v. 2. $3 435907
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10535#t=toc

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得，請勿在此評論區張貼涉及人身攻擊、情緒謾罵、或內容涉及非法的不當言論，館方有權利刪除任何違反評論規則之發言，情節嚴重者一律停權，以維護所有讀者的自由言論空間。

Export

取書館別