Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Performance Analysis of Topic Modelling Algorithms on a South African HIV/AIDS Question Dataset

Type de record:

paper
Créateur:
KylSunChu
Éditeur:
IEEE
Hôte:

Visit

doi.org

Tasks

text classificationtopic classification

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similaires

HIV/AIDS Information on East African Websites: A Comparative AnalysisHIV/AIDS and the South African labour market: a CGE analysisAnalysis of Public Health on Facebook Posts in Ghana Using Topic Modelling (Preprint)AIDS-Orphanhood and Caregiver HIV/AIDS Sickness Status: Effects on Psychological Symptoms in South African Youth ANTC — African News Topic Classification DatasetA Comparison of Topic Modeling and Classification Machine Learning Algorithms on Luganda Data

HIV/AIDS Information on East African Websites: A Comparative Analysis

According to the UNAIDS Global Report of 2010, Sub-Saharan Africa has about 22.5 million people livi

HIV/AIDS and the South African labour market: a CGE analysis

The thesis is concerned with the construction and application of SAGE-H, a large-scale dynamic compu

Analysis of Public Health on Facebook Posts in Ghana Using Topic Modelling (Preprint)

BACKGROUND Social Media, a pervasive communication medium, offers a vast o

AIDS-Orphanhood and Caregiver HIV/AIDS Sickness Status: Effects on Psychological Symptoms in South African Youth

Objective: Research has established that AIDS-orphaned youth are at high risk of internalizing psych

ANTC — African News Topic Classification Dataset

We created a novel dataset, ANTC — African News Topic Classification for 4 African languages. We obtained data from three different news sources: VOA, BBC6 and isolezwe7 . From the VOA data we created datasets for Lingala and Somali. We obtained the topics from dat

A Comparison of Topic Modeling and Classification Machine Learning Algorithms on Luganda Data

Extracting functional themes and topics from a large text corpus manually is usually infeasible. There is a need to build text mining techniques such as topic modeling, which provide a mechanism to infer topics from a corpus of text automatically. This paper discus