國立虎尾科技大學 |

Social network analytics for contemporary business organizations

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Social network analytics for contemporary business organizations/ Himani Bansal, Guishan Shrivastava, Gia Nhu Nguyen and Loredana-Mihaela Stanciu, editors.
其他作者:	Bansal, Himani,
出版者:	Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:	1 online resource (xviii, 321 p.)
標題:	Online social networks. -
電子資源:	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:

565357
Online social networks.

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

Dewey Class. No.: 302.30285

Social network analytics for contemporary business organizations
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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 565357
650 0 $a Social sciences $x Network analysis. $3 566167
650 0 $a Data mining. $3 528622
650 0 $a Computational linguistics. $3 555811
700 1 $a Bansal, Himani, $d 1985- $e editor. $3 1155778
700 1 $a Shrivastava, Gulshan, $d 1987- $e editor. $3 1155779
700 1 $a Nguyen, Gia Nhu, $e editor. $3 1155780
700 1 $a Stanciu, Loredana-Mihaela, $e editor. $3 1155781
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5097-6