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UNT College of Arts and Sciences
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Computer Science and Engineering
Year:
2011
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UNT Scholarly Works
Mapping Texts: Combining Text-Mining and Geo-Visualization To Unlock The Research Potential of Historical Newspapers
Date: 2011
Creator: Torget, Andrew J., 1978-; Mihalcea, Rada, 1974-; Christensen, Jon & McGhee, Geoff
Description: This paper discusses a grant project to develop a series of experimental models for combining possibilities of text-mining with geospatial mapping in order to unlock the research potential of large-scale collections of historical newspapers. This paper documents the experiments and their outcomes, as well as the authors' recommendations for future work.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc83797/
The Microbial Communities in Male First Catch Urine Are Highly Similar to Those in Paired Urethral Swab Specimens
Date: May 13, 2011
Creator: Dong, Qunfeng; Nelson, David E.; Toh, Evelyn; Diao, Lixia; Gao, Xiang; Fortenberry, J. Dennis et al
Description: This article discusses microbial communities. Urine is the CDC-recommended specimen for STI testing. It was unknown if the bacterial communities (microbiomes) in urine reflected those in the distal male urethra. The authors compared microbiomes of 32 paired urine and urethral swab specimens obtained from adult men attending an STD clinic, by 16S rRNA PCR and deep pyrosequencing. Microbiomes of urine and swabs were remarkably similar, regardless of STI status of the subjects. Thus, urine can be used to characterize urethral microbiomes when swabs are undesirable, such as in population-based studies of the urethral microbiome or where multiple sampling of participants is required.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc78335/
Topic Modeling on Historical Newspapers
Date: June 2011
Creator: Yang, Tze-I; Torget, Andrew J. & Mihalcea, Rada
Description: In this paper, the authors explore the task of automatic text processing applied to collections of historical newspapers, with the aim of assisting historical research. In particular, in this first stage of the project, the authors experiment with the use of topical models as a means to identify potential issues of interest for historians.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc83799/