Self-Attention-Based BiLSTM Model for Short Text Fine-Grained Sentiment Classification

Self-Attention-Based BiLSTM Model for Short Text Fine-Grained Sentiment Classification

Fine-grained sentiment polarity classification for short texts has been an important and challenging task in natural language processing until these years. The short texts may contain multiple aspect-terms, opinion terms expressing different sentiments for different aspect-terms. The polarity of the...

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Bibliographic Details
Main Authors: Jun Xie, Bo Chen, Xinglong Gu, Fengmei Liang, Xinying Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Aspect-term
bidirectional LSTM (BiLSTM)
fine-grained
self-attention
Online Access:https://ieeexplore.ieee.org/document/8922599/

Internet

https://ieeexplore.ieee.org/document/8922599/

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