Aspect Based Sentiment Analysis With Feature Enhanced Attention CNN-BiLSTM

Aspect Based Sentiment Analysis With Feature Enhanced Attention CNN-BiLSTM

Previous work has recognized the importance of using the attention mechanism to obtain the interaction between aspect words and contexts for sentiment analysis. However, for the most attention mechanisms, it is unrigorous to use the average vector of the aspect words to calculate the context attenti...

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Bibliographic Details
Main Authors: Wei Meng, Yongqing Wei, Peiyu Liu, Zhenfang Zhu, Hongxia Yin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Aspect-based sentiment analysis
BiLSTM
CNN
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/8895969/

Internet

https://ieeexplore.ieee.org/document/8895969/

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