Amharic document clustering using semantic information from neural word embedding and encyclopedic knowledge

Amharic is the working language of Ethiopia, and its complex morphology, coupled with limited usable resources, makes the development of text processing applications for the language a challenging task. In this paper, we introduce Amharic document clustering system using an integration of the semant...

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Bibliografiske detaljer

Principais autores:	Dessalew Yohannes, Yenewondim Biadgie Sinshaw, Surafiel Habib Asefa, Yaregal Assabie
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2025-06-01
Serier:	Scientific African
Fag:	Amharic document clustering Hierarchical concept-based text clustering Document feature expansion Semantic information extraction Neural word embedding Encyclopedic knowledge
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2468227625001279
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