Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU

Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU

This paper describes the construction a short-text aspect-based sentiment analysis method based on Convolutional Neural Network (CNN) and Bidirectional Gating Recurrent Unit (BiGRU). The hybrid model can fully extract text features, solve the problem of long-distance dependence on the sequence, and...

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Bibliographic Details
Main Authors: Ziwen Gao, Zhiyi Li, Jiaying Luo, Xiaolin Li
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
short text
aspect-level
sentiment analysis
convolutional neural network (CNN)
bidirectional gating recurrent unit (BiGRU)
Online Access:https://www.mdpi.com/2076-3417/12/5/2707

Internet

https://www.mdpi.com/2076-3417/12/5/2707

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