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Structuring Research Directions in Medical Domain with Topic Modeling: Application for PhD Theses Synopses in Dentistry

Studies in Health Technology and Informatics (2022) 299 229-234
DOI: 10.3233/SHTI220989
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Abstract

The study analyzed scientific texts based on a manually created database of synopses of theses in dentistry. The main goal was to structure medical texts into various topics by means of natural language processing techniques (topic modeling). Furthermore, a dynamic topic modeling showed the most popular in the field of dentistry over almost the last thirty years.

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Babikov, I., Kovalchuk, S., Soldatov, I., & Grebnev, G. (2022). Structuring Research Directions in Medical Domain with Topic Modeling: Application for PhD Theses Synopses in Dentistry. In Studies in Health Technology and Informatics (Vol. 299, pp. 229–234). IOS Press BV. https://doi.org/10.3233/SHTI220989

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