A Multilayer CARU Framework to Obtain Probability Distribution for Paragraph-Based Sentiment Analysis

Paragraph-based datasets are hard to analyze by a simple RNN, because a long sequence always contains lengthy problems of long-term dependencies. In this work, we propose a Multilayer Content-Adaptive Recurrent Unit (CARU) network for paragraph information extraction. In addition, we present a type...

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發表在:	Applied Sciences
Main Authors:	Wei Ke, Ka-Hou Chan
格式:	Article
語言:	英语
出版:	MDPI AG 2021-11-01
主題:	NLP sentiment analysis Chebyshev pooling multilayer CARU
在線閱讀:	https://www.mdpi.com/2076-3417/11/23/11344