Text mining as a method of analyzing health questions in social Q&A

Proceedings of the ASIST Annual Meeting

Volumn 50, Issue 1, 2013, Pages

  Oh, Sanghee ^a   Park, Min Sook ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Health Information; Online information seeking; Social Q A; Text mining

Indexed keywords

EID: 84904015402     PISSN: None     EISSN: 15508390     Source Type: Journal    
DOI: 10.1002/meet.14505001130     Document Type: Conference Paper

References (8)

1. Coreley, C.D., Cook, D. J., Mikler, A. R., & Singh, K. P. (2010). Text and structural data mining of influenza mentions in Web and social media. International Journal of Environmental Research and Public Health. 7, 596-615. doi:10.3390/ijerph7020596.
2. Fox, S. (2009). The social life of health information: Americans pursuit of health takes place within a widening network of both online and offline sources. Pew Internet and American Life Project: Pew Charitable Trusts. Retrieved from www.pewinternet.org/~/media/Files/Reports/2009/PIP- Health-2009.pdf
3. Hu, X., Downie, J. S., West, K., & Ehmann, A. (2005). Mining music reviews: Promising preliminary results. In Proceedings of the 6th International Symposium on Music Information Retrieval. 536-539.
4. Kim, S. (2009). Content analysis of cancer blog posts. Journal of the Medical Library Association, 97(4). 260-266. doi: 10.3163/1536-5050.97.4.009
5. Kim, S., Pinkerton, T., & Ganesh, N. (2012). Assessment of H1N1 questions and answers posted on the Web. American Journal of Infection Control, 40(3), 211-217.
6. Moturu, S.T.; Huan L., & Johnson, W. G. (2008). Trust evaluation in health information on the World Wide Web. Engineering in Medicine and Biology Society, EMBS 2008. 30th Annual International Conference of the IEEE, 1525-1528. doi: 10.1109/IEMBS.2008.4649459
7. Oh, Zhang, & Park (2012). A coding schema development for analyzing health questions in social Q&A. Proceedings from ASIS&T '2012: The 75th Annual Meeting of the Association for Information Science and Technology. Baltimore, Maryland: Chang, Fulton, & Hersberger.
8. Rajman, M., & Besancon, R. (1998). Text Mining-Knowledge extraction from unstructured textual data. Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98). 473-480. Rome, Italy.