Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya. S1 Data

Muchene, L

(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

Copy

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
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	30 Aug 2022 13:17
Publisher	PLOS ONE