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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Hlavní autoři:	Jun Xie, Bo Chen, Xinglong Gu, Fengmei Liang, Xinying Xu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2019-01-01
Edice:	IEEE Access
Témata:	Aspect-term bidirectional LSTM (BiLSTM) fine-grained self-attention
On-line přístup:	https://ieeexplore.ieee.org/document/8922599/
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