Attention-Based Memory Network for Text Sentiment Classification

Attention-Based Memory Network for Text Sentiment Classification

In order to explore the impact of different memory modules under the framework of memory network for aspect level sentiment classification, we use convolutional neural networks (CNN) and bidirectional long short term memory (BiLSTM) to design four kinds of memory network models in this paper. The fi...

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Bibliographic Details
Main Authors: Hu Han, Jin Liu, Guoli Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Sentiment classification
deep memory network
convolutional neural networks
bidirectional long short term memory
Online Access:https://ieeexplore.ieee.org/document/8528401/

Internet

https://ieeexplore.ieee.org/document/8528401/

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