東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Social network analytics for contemp...

Bansal, Himani, (1985-)

Linked to FindBook

Google Book

Amazon

博客來

Social network analytics for contemporary business organizations

Record Type:	Electronic resources : Monograph/item
Title/Author:	Social network analytics for contemporary business organizations/ Himani Bansal, Guishan Shrivastava, Gia Nhu Nguyen and Loredana-Mihaela Stanciu, editors.
other author:	Bansal, Himani,
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xviii, 321 p.)
[NT 15003449]:	Chapter 1. Social network analysis: tools, techniques, and technologies -- Chapter 2. Social networking data analysis tools and services -- Chapter 3. Social implications of e-government -- Chapter 4. Thwarting spam on Facebook: identifying spam posts using machine learning techniques -- Chapter 5. Impact of sarcasm in sentiment analysis methodology -- Chapter 6. Analysis of online social networks for the identification of sarcasm -- Chapter 7. A novel algorithm for sentiment analysis of online movie reviews -- Chapter 8. Authorship attribution for online social media -- Chapter 9. Business-oriented analytics with social network of things -- Chapter 10. Social aware cognitive radio networks: effectiveness of social networks as a strategic tool for organizational business management -- Chapter 11. An experimental evaluation of link prediction for movie suggestions using social media content -- Chapter 12. Knowledge discovery using data stream mining: an analytical approach -- Chapter 13. Trust and credibility analysis of websites: role of trust and credibility in evaluating online content.
Subject:	Online social networks. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5097-6
ISBN:	9781522550983 (ebook)

Social network analytics for contemporary business organizations
Social network analytics for contemporary business organizations[electronic resource] /Himani Bansal, Guishan Shrivastava, Gia Nhu Nguyen and Loredana-Mihaela Stanciu, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xviii, 321 p.)

Includes bibliographical references and index.

Chapter 1. Social network analysis: tools, techniques, and technologies -- Chapter 2. Social networking data analysis tools and services -- Chapter 3. Social implications of e-government -- Chapter 4. Thwarting spam on Facebook: identifying spam posts using machine learning techniques -- Chapter 5. Impact of sarcasm in sentiment analysis methodology -- Chapter 6. Analysis of online social networks for the identification of sarcasm -- Chapter 7. A novel algorithm for sentiment analysis of online movie reviews -- Chapter 8. Authorship attribution for online social media -- Chapter 9. Business-oriented analytics with social network of things -- Chapter 10. Social aware cognitive radio networks: effectiveness of social networks as a strategic tool for organizational business management -- Chapter 11. An experimental evaluation of link prediction for movie suggestions using social media content -- Chapter 12. Knowledge discovery using data stream mining: an analytical approach -- Chapter 13. Trust and credibility analysis of websites: role of trust and credibility in evaluating online content.

Restricted to subscribers or individual electronic text purchasers.

"This book addresses different aspects such as sentiment analyzing with sarcasm detection, issues in data consolidation, and various challenges with dependability and trust analytics, automation of content extraction and an assortment of applications of business applications in social media analytics using machine learning, evolutionary algorithms and other techniques"--

ISBN: 9781522550983 (ebook)Subjects--Topical Terms:

624374
Online social networks.

LC Class. No.: HM742 / .S62867 2018e

Dewey Class. No.: 302.30285

Social network analytics for contemporary business organizations
LDR:02546nmm a2200277 a 4500 001 2137868
003 IGIG
005 20181030100451.0
006 m o d
007 cr cn
008 181117s2018 pau fob 001 0 eng d
010 $z 2017035066
020 $a 9781522550983 (ebook)
020 $a 9781522550976 (hardcover)
035 $a (OCoLC)1026437745
035 $a 1071025238
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a HM742 $b .S62867 2018e
082 0 4 $a 302.30285 $2 23
245 0 0 $a Social network analytics for contemporary business organizations $h [electronic resource] / $c Himani Bansal, Guishan Shrivastava, Gia Nhu Nguyen and Loredana-Mihaela Stanciu, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xviii, 321 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Social network analysis: tools, techniques, and technologies -- Chapter 2. Social networking data analysis tools and services -- Chapter 3. Social implications of e-government -- Chapter 4. Thwarting spam on Facebook: identifying spam posts using machine learning techniques -- Chapter 5. Impact of sarcasm in sentiment analysis methodology -- Chapter 6. Analysis of online social networks for the identification of sarcasm -- Chapter 7. A novel algorithm for sentiment analysis of online movie reviews -- Chapter 8. Authorship attribution for online social media -- Chapter 9. Business-oriented analytics with social network of things -- Chapter 10. Social aware cognitive radio networks: effectiveness of social networks as a strategic tool for organizational business management -- Chapter 11. An experimental evaluation of link prediction for movie suggestions using social media content -- Chapter 12. Knowledge discovery using data stream mining: an analytical approach -- Chapter 13. Trust and credibility analysis of websites: role of trust and credibility in evaluating online content.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book addresses different aspects such as sentiment analyzing with sarcasm detection, issues in data consolidation, and various challenges with dependability and trust analytics, automation of content extraction and an assortment of applications of business applications in social media analytics using machine learning, evolutionary algorithms and other techniques"-- $c Provided by publisher.
650 0 $a Online social networks. $3 624374
650 0 $a Social sciences $x Network analysis. $3 565859
650 0 $a Data mining. $3 562972
650 0 $a Computational linguistics. $3 606540
700 1 $a Bansal, Himani, $d 1985- $e editor. $3 3310795
700 1 $a Shrivastava, Gulshan, $d 1987- $e editor. $3 3310796
700 1 $a Nguyen, Gia Nhu, $e editor. $3 3310797
700 1 $a Stanciu, Loredana-Mihaela, $e editor. $3 3310798
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5097-6