Finding the Differences between the Perceptions of Experts and the Public in the Field of Diabetes
Authors: 
Dahee Lee, Won Chul Kim, Min SongAuthors Info & Claims
Dahee Lee, Won Chul Kim, Min SongAuthors Info & ClaimsPages 57 - 58
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.
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Index Terms
- Finding the Differences between the Perceptions of Experts and the Public in the Field of Diabetes
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Published In
May 2015
1602 pages
ISBN:9781450334730
DOI:10.1145/2740908
- General Chairs:
- Aldo Gangemi,
- Stefano Leonardi,
- Alessandro Panconesi
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- IW3C2: International World Wide Web Conference Committee
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 May 2015
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- Other
Funding Sources
- Ministry of Science ICT and Future Planning
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WWW '15
Sponsor:
- IW3C2
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