Tibetan Sentiment Classification Method Based on Semi-Supervised Recursive Autoencoders

We apply the semi-supervised recursive autoencoders (RAE) model for the sentiment classification task of Tibetan short text, and we obtain a better classification effect. The input of the semi-supervised RAE model is the word vector. We crawled a large amount of Tibetan text from the Internet, got T...

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Bibliographic Details

Published in:	Computers, materials & continua Vol. 60; no. 2; pp. 707 - 719
Main Authors:	Yan, Xiaodong, Song, Wei, Zhao, Xiaobing, Wang, Anti
Format:	Journal Article
Language:	English
Published:	Henderson Tech Science Press 2019
Subjects:	Classification Recursive methods Sentiment analysis
ISSN:	1546-2226, 1546-2218, 1546-2226
Online Access:	Get full text
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