Hashtag研究综述被引量：6

Survey on Hashtag Mining and Its Application

导出

摘要【目的】分析当前Hashtag研究思路和技术,归纳和总结当前Hashtag研究中所存在的问题,并提炼Hashtag研究的理论意义与实际意义,为更深入的Hashtag研究提供参考。【文献范围】以2007年至2015年的国际会议和国内外期刊的60篇文献作为主要研究对象。【方法】调研Hashtag研究及其应用的相关文献,对Hashtag研究中各环节涉及的方法进行分析和总结。【结果】Hashtag在用户使用、Hashtag挖掘与基于Hashtag的应用研究三方面存在一些可以深入研究的问题。【结论】未来应侧重于Hashtag的理论研究,如用户标注Hashtag的动机、影响Hashtag标注的因素等。在实际应用中,结合不同学科方法和多个领域的技术改善Hashtag在实际应用中的效果。 [Objective] The authors analyze Hashtag research, summarize the current problems in Hashtag research. After refining the theoretical and practical significance of Hashtag research, then present further research of Hashtag. [Coverage] About 60 literatures from international conferences and journals （2007-2015） are investigated. [Methods] Survey on Hashtag mining and its application and summarize different methods on Hashtag mining. The process and different methods of Hashtag mining are analyzed. [Results] There are some problems about user Hashtag using, mining and applications. [Conclusions] Further study should be focused on theory of Hashtag, e.g. motivation of Hashtag using, and reasons that affect Hashtag using. The performance of Hashtag application should be improved by combined of the methods and technologies from different disciplines.

作者邵健章成志李蕾

机构地区南京理工大学经济管理学院江苏省数据工程与知识服务重点实验室(南京大学)

出处《现代图书情报技术》 CSSCI 2015年第10期40-49,共10页 New Technology of Library and Information Service

基金国家社会科学基金项目"在线社交网络中基于用户的知识组织模式研究"(项目编号:14BTQ033) 教育部人文社会科学基金规划项目"多语言高质量社会化标签生成及聚类研究"(项目编号:13YJA870020)的研究成果之一

关键词 Hashtag 文本挖掘社会化标签热点事件发现情感分类 Hashtag Text mining Social tag Hot events detection Sentiment classification

分类号 G254 [文化科学—图书馆学] G353.1 [文化科学—情报学]

引文网络
相关文献

参考文献63

1Gupta M, Li R, Yin Z, et al. Survey on Social Tagging Techniques [J]. ACM SIGKDD Explorations Newsletter, .2010,12(1): 58-72.
2Hughes A L, Palen L. Twitter Adoption and Use in Mass Convergence and Emergency Events [J]. International Journal of Emergency Management, 2009, 6(3-4): 248-260.
3Deller R A. Twittering on: Audience Research and Participation Using Twitter [J]. Participations, 2011, 8(1): 216-245.
4Small T A. What the Hashtag? A Content Analysis of Canadian Politics on Twitter [J]. Information, Communication & Society, 2011, 14(6): 872-895.
5Dwyer N, Marsh S. What can the Hashtag# Trust Tell Us about How Users Conceptualise Trust? [C]. In: Proceedings of the 12th Annual International Conference on the Privacy, Security and Trust (PST). IEEE, 2014: 398-402.
6Zappavigna M. Discourse of Twitter and Social Media: How We Use Language to Create Affiliation on the Web [M]. Bloomsbury Academic, 2012.
7Ivanova M. Understanding Microblogging Hashtags for Learning Enhancement [J]. Form@ re-Open Journal per la Formazione in Rete, 2011, 11 (74): 17-23.
8Messina C. Groups for Twitter; or a Proposal for Twitter Tag Channels [EB/OL]. [2015-05-01]. http://factoryjoe.corn/blog/ 2007/08/25/groups-for-twitter-or-a-proposal-for-twitter-tag-c hannels.
9Huang J, Thornton K M, Efthimiadis E N. Conversational Tagging in Twitter [C]. In: Proceedings of the 21st ACM Conference on Hypertext and Hypermedia. ACM, 2010: 173-178.
10Tsur O, Rappoport A. What's in a Hashtag?: Content Based Prediction of the Spread of Ideas in Microblogging Communities [C]. In: Proceedings of the 5th ACM International Conference on Web Search and Data Mining. ACM, 2012: 643-652.

二级参考文献50

1滕云,杨琴.网络弱关系与个人社会资本获取[J].重庆社会科学,2007(2):122-124. 被引量：13
2王永恒,贾焰,杨树强.海量短语信息文本聚类技术研究[J].计算机工程,2007,33(14):38-40. 被引量：13
3汤丽娟,章成志.社会化标签研究综述[c]//第十八届海峡两岸信息咨询管理发展与策略学术研讨会,台湾,2012:1163-1176.
4BEGELMAN G, KELLER P, SMADIA F. Automated tag clustering improving search and exploration in the tag space [ C ] //Proceedings of WWW' 06 : Collaborative Web Tagging Workshop, Edinburgh, UK, 2006.
5WU X, et al. Exploring social annotations for the semantic Web [ C] //Proceedings of WWW' 06, Edinburgh, UK, 2006.
6GIANNAKIDOU E, KOUTSONIKOLA V, VAKALI A, et al. Co-clustering tags and social data sources [ C ] //Proceedings of the Ninth International Conference on Web-Age Information Man- agement, Zhangiiajie, China, 2008: 317-324.
7CUI J W, LIU H Y, HE J, et al. TagClus: a random walk- based method for tag clustering [ J ]. Knowledge and Informa- tion Systems, 2011 (27) : 193-225.
8DANIEL R, PAUL H. Clustering the tagged Web [ C] //Pro- ceedings of the Second ACM Conference on Web Search and Da- m Mining, Barcelona, Spain, 2009: 54453.
9MARCO L S, EDWIN S. Tag clustering with self organization maps [ C ] //Technical Report HPL-2009-338, HP Laborato- ries, 2009.
10CHEN H H, et al. A multilingual news summarizer [ C ] // Proceedings of the 18th International Conference on Computa- tional Linguistics ( COLING2000), 2000 : 159-165.