ALDONAr: A hybrid solution for sentence-level aspect-based sentiment analysis using a lexicalized domain ontology and a regularized neural attention model

作者：

Highlights：

• We present a hybrid model for aspect-based sentiment analysis.

• The domain information is captured by a sentiment domain ontology.

• The neural model is based on context attention and a classification module.

• Using standard datasets we show that the new model outperforms existing models.

摘要

•We present a hybrid model for aspect-based sentiment analysis.•The domain information is captured by a sentiment domain ontology.•The neural model is based on context attention and a classification module.•Using standard datasets we show that the new model outperforms existing models.

论文关键词：Aspect-based sentiment analysis,Hybrid model,Lexicalized domain ontology,Bidirectional gated neural network,Regularization

论文评审过程：Received 13 September 2019, Revised 20 December 2019, Accepted 20 January 2020, Available online 31 January 2020, Version of Record 31 January 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102211