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...

Full description

Bibliographic Details

Published in:	Microprocessors and microsystems Vol. 76; p. 103063
Main Authors:	Che, Lei, Yang, Xiaoping, Wang, Liang
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier B.V 01.07.2020 Elsevier BV
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!