Text feature extraction based on stacked variational autoencoder

This paper presents a text feature extraction model based on stacked variational autoencoder (SVAE). A noise reduction mechanism is designed for variational autoencoder in input layer of text feature extraction to reduce noise interference and improve robustness and feature discrimination of the mod...

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Vydané v:	Microprocessors and microsystems Ročník 76; s. 103063
Hlavní autori:	Che, Lei, Yang, Xiaoping, Wang, Liang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Kidlington Elsevier B.V 01.07.2020 Elsevier BV
Predmet:	Computer architecture Deep stack Feature extraction Model accuracy Noise reduction Text feature extraction Variational autoencoder Variational autoencoder Deep stack Text feature extraction Noise reduction
ISSN:	0141-9331, 1872-9436
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