Topic Extraction of Research Seeds by Natural Language Processing From Programs of Annual Scientific Meetings of the Japanese Circulation Society
Background: Manually tracking research trends in extensive conference programs is challenging, so we used a natural language processing approach to automatically extract trending topics from PDF-formatted programs of the Japanese Circulation Society (JCS).
Authors
- Yukinori Akiyama (ORCID: https://orcid.org/0000-0002-1950-8213)
- Marenao Tanaka (ORCID: https://orcid.org/0000-0002-6575-9996)
- Itaru Hosaka (ORCID: https://orcid.org/0000-0002-4005-8229)
- T Sato
- Masato Furuhashi
Institutions
- Sapporo Medical University (JP)
Publication Details
- Journal
- Circulation Reports
- Published
- 2026-06-16
- DOI
- https://doi.org/10.1253/circrep.cr-26-0113
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00