University of Illinois Urbana-Champaign

HIV/AIDS Question Analysis with Text Mining: Using Concept Maps for Data Analysis and Interpretation

Oh, Sanghee; Park, Min Sook

Permalink

https://hdl.handle.net/2142/73746

Description

Title
HIV/AIDS Question Analysis with Text Mining: Using Concept Maps for Data Analysis and Interpretation
Author(s)
  • Oh, Sanghee
  • Park, Min Sook
Issue Date
2015-03-15
Keyword(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.
Publisher
iSchools
Series/Report Name or Number
iConference 2015 Proceedings
Type of Resource
text
Language
English
Permalink
http://hdl.handle.net/2142/73746
Copyright and License Information
Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections

iConference 2015 Poster Descriptions PRIMARY