A Mixed-Method Approach of Content Analysis and Data Mining
College of Communication & Information, Florida State University
Wednesday, April 24, 2013
1:00 - 2:30 pm
2025 E Newport Ave
Milwaukee, WI 53211
The purpose of the current project, funded by a 2013 OCLC/ALISE Library and Information Science Research Grant, is to investigate the health information needs and sources people most likely seek and share in social Q&A, by analyzing the content of health questions and answers. This project is designed into three phases, 1) examining a small set of data using content analysis, 2) developing a framework of information needs based on the findings from the content analysis, and 3) performing large-scale data mining of questions with the framework. In the presentation, the preliminary findings of this project will be reported and the opportunities and challenges associated with the approach of using a mixed method of content analysis and data mining will be discussed.
Sanghee Oh is an Assistant Professor in the College of Communication & Information at Florida State University (http://shoh.cci.fsu.edu/). She obtained her PhD in Information & Library Science from the University of North Carolina at Chapel Hill, and her Master of Library and Information Science from the university of California at Los Angeles. Her areas of research interest are human computer interaction, user-centered interface design, health informatics, and social informatics. The primary focus of her research has been on people's behaviors using social media for seeking and sharing health information and socfial support. The details about her projects in research can be found here (http://socialqa.cci.fso.edu/).
FOR MORE INFORMATION ABOUT THE PROGRAM CONTACT:
Ph: 414-229-4707 | ischool.uwm.edu