Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya. S1 Data
Muchene, L
and Safari, W
(2021).
Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya. S1 Data.
[Dataset].
PLOS ONE.
https://doi.org/10.1371/journal.pone.0243208.s006
and Safari, W
(2021).
Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya. S1 Data.
[Dataset].
PLOS ONE.
https://doi.org/10.1371/journal.pone.0243208.s006
Dataset published to support the paper, "Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya".
Keywords
HIV; novel two-stage topic modelling app; Two-stage topic modelling; topic modelling; text mining domains; Latent Dirichlet Allocation; per-document topic probabilities| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Unknown |
| Date | 7 January 2021 |
| Language(s) of written materials | English |
| Creator(s) |
Muchene, L and Safari, W
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 30 Aug 2022 13:17 |
| Last Modified | 21 Nov 2025 15:25 |
| Publisher | PLOS ONE |
No files available. Please consult associated links.
