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

In Studies in health technology and informatics ; h5-index 23.0

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.

Babikov Igor, Kovalchuk Sergey, Soldatov Ivan, Grebnev Gennady

2022-Nov-03

ARTM, Dentistry, Machine Learning, Natural Language Processing, Topic Modeling, Unstructured Data