Finding the differences between the perceptions of experts and the public in the field of diabetes

Dahee Lee, Won Chul Kim, Min Song

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

Abstract

Automatic information extraction techniques such as named entity recognition and relation extraction have been developed but it is yet rare to apply them to various document types. In this paper, we applied them to academic literature and social media's contents in the field of diabetes to find distinctions between the perceptions of biomedical experts and the public. We analyzed and compared the experts' and the public's networks constituted by the extracted entities and relations. The results confirmed that there are some differences in their views, i.e., biomedical entities that interest them and relations within their knowledge range.

Original languageEnglish
Title of host publicationWWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages57-58
Number of pages2
ISBN (Electronic)9781450334730
DOIs
Publication statusPublished - 2015 May 18
Event24th International Conference on World Wide Web, WWW 2015 - Florence, Italy
Duration: 2015 May 182015 May 22

Publication series

NameWWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web

Other

Other24th International Conference on World Wide Web, WWW 2015
CountryItaly
CityFlorence
Period15/5/1815/5/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

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    Lee, D., Kim, W. C., & Song, M. (2015). Finding the differences between the perceptions of experts and the public in the field of diabetes. In WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web (pp. 57-58). (WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web). Association for Computing Machinery, Inc. https://doi.org/10.1145/2740908.2742773