Topic model based on co-occurrence word networks for unbalanced short text datasets

We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets. Our approach, named CWUTM (Topic model based on co-occurrence word networks for unbalanced short text datasets), Our approach addresses the challenge of sparse and unbalanced short text topics by mit...

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Hauptverfasser:	Ma, Chengjie, Du, Junping, Liang, Meiyu, Guan, Zeli
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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