Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review

作者：

Highlights：

• Over 40 models for aspect-based sentiment analysis are summarized and classified.

• Deep learning methods use fewer parameters but achieved comparative performance.

• Deep learning is still in infancy, given challenges in data, domains and languages.

• A task-combined and concept-centric approach should be considered in future studies.

摘要

•Over 40 models for aspect-based sentiment analysis are summarized and classified.•Deep learning methods use fewer parameters but achieved comparative performance.•Deep learning is still in infancy, given challenges in data, domains and languages.•A task-combined and concept-centric approach should be considered in future studies.

论文关键词：

论文评审过程：Received 3 April 2018, Revised 13 August 2018, Accepted 2 October 2018, Available online 6 October 2018, Version of Record 14 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.003