Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics

Topic modeling is a prevalent task for discovering the latent structure of a corpus, identifying a set of topics that represent the underlying themes of the documents. Despite its popularity, issues with its evaluation metric, the coherence score, result in two common challenges: algorithm selection...

Full description

Saved in:

Bibliographic Details
Published in:	Natural Language Processing Journal Vol. 8; p. 100082
Main Authors:	Rijcken, Emil, Zervanou, Kalliopi, Mosteiro, Pablo, Scheepers, Floortje, Spruit, Marco, Kaymak, Uzay
Format:	Journal Article
Language:	English
Published:	Elsevier 01.09.2024
Subjects:	Algorithm selection Metric Topic modeling
ISSN:	2949-7191, 2949-7191
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!