Topic Modeling and Classification of Cyberspace Papers Using Text Mining
作者: Babak SohrabiIman Raeesi VananiMMohsen Baranizade Shineh
作者单位: 1Professor, Department of IT Management, Faculty of Management, University of Tehran (UT), Tehran, Iran
2Assistant Professor of Industrial Management, Allameh Tabataba’i University (ATU), Tehran, Iran
3Master of IT Management, Faculty of Management, University of Tehran (UT), Tehran, Iran
刊名: Journal of Cyberspace Studies, 2018, Vol.2 (1), pp.103-125
来源数据库: "Cyberspace Policy Research Center" and "UNESCO Chair on Cyberspace and Culture",Faculty of World Studies, University of Tehran
DOI: 10.22059/jcss.2017.239847.1009
关键词: CyberspaceText miningTrend discoveryTopic modeling
原始语种摘要: The global cyberspace networks provide individuals with platforms to can interact, exchange ideas, share information, provide social support, conduct business, create artistic media, play games, engage in political discussions, and many more. The term cyberspace has become a conventional means to describe anything associated with the Internet and the diverse Internet culture. In fact, cyberspace is an umbrella term that covers all issues occurring through the interaction of information systems and humans over these networks. Deep evaluation of the scientific articles on the cyberspace domain provides concentrated knowledge and insights about major trends of the field. Text mining tools and techniques enable the practitioners and scholars to discover significant trends in a large set of...
全文获取路径: PDF下载  德黑兰大学世界研究系网络空间研究政策中心及联合国教科文组织网络空间与文化教席 
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关键词翻译
关键词翻译
  • mining 矿业
  • discovery 发现
  • validate 确认
  • cyberspace 信息空间
  • knowledge 知识
  • create 引起
  • modeling 制祝型
  • tools 工具
  • articles 用品
  • directions 指示