期刊文献+

微博及中文微博信息处理研究综述

Micro-blog and Chinese information processing research
下载PDF
导出
摘要 微博是一种新的社交网络平台,由于寄生于网络,且操作便捷、信息沟通能力极强,深受广大网民青睐。自2006年微博平台走入信息市场后,我国便开始从信息处理角度,探究中文微博服务的实现路径,用户能过通过网络web、移动终端,以电子邮件、文字信息的形式,描述自己当前所在位置、状态,是微博必须遵守、满足的功能。因此,在中文微博特殊的创建条件下,如何迎合信息处理中用户"关注"及"被关注"等社会化关系的变化趋向,依然是中文微博需要重点考虑的发展问题。 Micro-blog is a kind of new social networking platform, due to the parasitic in the internet, and convenient operation, strong ability of information communication, favored by users. Since 2006, when the micro-blog platform after stepping into the information market, started from the Angle of information processing in our country, explore the implementation path of Chinese micro-blog service, the user can through the web through the network and mobile terminals, in the form of E-mail, text messages, describe your current location, status, is the function of the micro-blog must abide by, meet. As a result, the Chinese micro-blog special create conditions, how to meet the information processing in the user "attention" and "attention" change trend of social relations, is still a Chinese micro-blog needs to consider the development of the problem.
作者 洪丹
出处 《佳木斯职业学院学报》 2015年第4期380-,共1页 Journal of Jiamusi Vocational Institute
关键词 微博 中文微博 信息处理 研究综述 micro-blog Chinese micro-blog information processing research
  • 相关文献

参考文献4

二级参考文献112

  • 1朱嫣岚,闵锦,周雅倩,黄萱菁,吴立德.基于HowNet的词汇语义倾向计算[J].中文信息学报,2006,20(1):14-20. 被引量:326
  • 2刘群,李素建.基于《知网》的词汇语义相似度的计算[C].台北:第三届汉语词汇语义学研讨会,2002.
  • 3A. Java, X. Song, T. Finin, et al. Why we twitter: understanding microblogging usage and communities. [C]//Proceedings of the 9th WebKDD and 1st SNAKDD 2007 Workshop on Web Mining and Social Network Analysis, 2007: 56-65.
  • 4H. Kwak, C. Lee, H. Park, et al. What is Twitter, a social network or a news media[C]//Proceedings of the International Conference on Word Wide Web (WWW), 2010: 591-600.
  • 5S. Wu, J. M. Hofman, W. A. Mason, et al. Who says what to whom on Twitter[C]//Proceedings of the International Conference on World Wide Web (WWW), 2011: 705-714.
  • 6M. Gupte, P. Shankar, J. Li, et al. Finding hierarchy in directed online social networks[C]//Proeeedings of the International Conference on World Wide Web (WWW) , 2011: 557-566.
  • 7A. Arasu, J. Cho, H. Garcia-Molina, et al. Searching the web [J]. ACM Transactions on Internet Technology, 2001, 1(1): 2-43.
  • 8J. Weng, E. Lim, J. Jiang, et al. TwitterRank: finding topic-sensitive influential twitterers[C]//Proceedings of the ACM Conference on Web Search and Data Mining (WSDM), 2010: 261-270.
  • 9M. Cha, H. Haddadi, F. Benevenuto, K. P. Gummad. Measuring user influence on twitter., the million follower fallacy[C]//Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, 2010.
  • 10E. Bakshy, J. M. Hofman, W. A. Mason, et al. Everyone's an influencer: quantifying influence on Twitter[C]//Proceedings of the ACM Conference on Web Search and Data Mining (WSDM), 2011: 65-74.

共引文献89

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部