Discovering Chinese sentence patterns for feature-based opinion summarization

作者：

Highlights：

• This study ascertains part-of-speech patterns in Chinese opinion sentences from customer reviews.

• A feature-based summarization algorithm is proposed to calculate feature scores based on sentence patterns in reviews.

• The extraction of feature words and opinion/feeling words can be performed in the same phase to improve efficiency.

• The patterns can be used in different domains.

• The proposed algorithm works well with Chinese reviews and outperforms the baseline.

摘要

•This study ascertains part-of-speech patterns in Chinese opinion sentences from customer reviews.•A feature-based summarization algorithm is proposed to calculate feature scores based on sentence patterns in reviews.•The extraction of feature words and opinion/feeling words can be performed in the same phase to improve efficiency.•The patterns can be used in different domains.•The proposed algorithm works well with Chinese reviews and outperforms the baseline.

论文关键词：Feature-based opinion summary,Opinion mining,Sentiment analysis,Sentence pattern

论文评审过程：Received 22 August 2014, Revised 24 August 2015, Accepted 25 August 2015, Available online 1 September 2015, Version of Record 7 December 2015.

论文官网地址：https://doi.org/10.1016/j.elerap.2015.08.007