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Title:HIV/AIDS Question Analysis with Text Mining: Using Concept Maps for Data Analysis and Interpretation
Author(s):Oh, Sanghee; Park, Min Sook
Subject(s):human information behavior
health informtics
text/data/knowledge mining
Abstract:This poster reports preliminary findings of a work-in progress project focusing on examining questions regarding HIV/AIDS that people generate in social knowledge spaces, social Q&A. A total of 15,574 HIV/AIDS questions out of 74,665 STD questions posted in Yahoo! Answers were randomly selected and analyzed using text mining. Category maps and concept maps that have been used for interpreting the data from text mining are introduced in this poster.
Issue Date:2015-03-15
Publisher:iSchools
Series/Report:iConference 2015 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/73746
Peer Reviewed:yes
Rights Information:Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2015-03-24


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