Elastic deep autoencoder for text embedding clustering by an improved graph regularization

Text clustering is a task for grouping extracted information of the text in different clusters, which has many applications in recommender systems, sentiment analysis, and more. Deep learning-based methods have become increasingly popular due to their high accuracy in identifying nonlinear structure...

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Veröffentlicht in:	Expert systems with applications Jg. 238; S. 121780
Hauptverfasser:	Daneshfar, Fatemeh, Soleymanbaigi, Sayvan, Nafisi, Ali, Yamini, Pedram
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.03.2024
Schlagworte:	Deep autoencoder Graph regularization Text clustering Text embedding Text clustering Graph regularization Text embedding Deep autoencoder
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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