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naolbakala/Adapting-Outperformer-Topic-Modeling-for-low-resource-Major-Ethiopian-Languages

Domaine:

natural language processing

Type de record:

dataset
Créateur:
nao
Hôte:
Topic words based dataset extracted from large size of social media data from three major Ethiopian Languages: Afaan Oromo, Amharic, and Tigrigna. for further reference, published paper is available at journals.indexcopernicus.com # Adapting-Outperformer-Topic-Modeling-for-low-resource-Major-Ethiopian-Languages

Visit

github.com

Tasks

text classificationtopic classification

Languages

AmharicOromoOromo, Borana-Arsi-GujiTigrigna