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There is a need to provide a more effective user interface to facilitate non-domain experts' health information seeking in authoritative online databases such as MEDLINE. We developed a new topic cluster based information navigation system called SimMed. Instead of offering a list of documents, SimMed presents users with a list of ranked clusters. Topically(More)
This study examined citizens’ use of social networking site Twitter in political information sharing in South Korea. Content analysis was used in classifying message types and sentiments from the most frequently re-tweeted (RT) messages including the names of three top political leaders running for general elections in 2012. Correlation analysis comparing(More)
While a plethora of conversational speech has been recorded and archived for over a century, it has not been easily accessible due to many technical challenges vs. text and rehearsed speech to be addressed before conversational archives can be effectively searched and used. In this paper, we describe two language modeling methods for automatically assigning(More)
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