Enhancing accessibility of microblogging messages using semantic knowledge

Xia Hu, Lei Tang, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

The volume of microblogging messages is increasing exponentially with the popularity of microblogging services. With a large number of messages appearing in user interfaces, it hinders user accessibility to useful information buried in disorganized, incomplete, and unstructured text messages. In order to enhance user accessibility, we propose to aggregate related microblogging messages into clusters and automatically assign them semantically meaningful labels. However, a distinctive feature of microblogging messages is that they are much shorter than conventional text documents. These messages provide inadequate term co occurrence information for capturing semantic associations. To address this problem, we propose a novel framework for organizing unstructured microblogging messages by transforming them to a semantically structured representation. The proposed framework first captures informative tree fragments by analyzing a parse tree of the message, and then exploits external knowledge bases (Wikipedia and WordNet) to enhance their semantic information. Empirical evaluation on a Twitter dataset shows that our framework significantly outperforms existing state-of-the-art methods.

Original languageEnglish (US)
Title of host publicationCIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management
Pages2465-2468
Number of pages4
DOIs
StatePublished - Dec 13 2011
Event20th ACM Conference on Information and Knowledge Management, CIKM'11 - Glasgow, United Kingdom
Duration: Oct 24 2011Oct 28 2011

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other20th ACM Conference on Information and Knowledge Management, CIKM'11
CountryUnited Kingdom
CityGlasgow
Period10/24/1110/28/11

Keywords

  • accessibility
  • clustering
  • labeling
  • microblogging

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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  • Cite this

    Hu, X., Tang, L., & Liu, H. (2011). Enhancing accessibility of microblogging messages using semantic knowledge. In CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management (pp. 2465-2468). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/2063576.2063993