On detecting business event from the headlines and leads of massive online news articles

作者：

Highlights：

• A clustering-annotation-classification strategy is proposed for harvesting business events.

• Effect of headline and lead of online news on event detection is studied.

• The proposed method can well solve the problems of event definition and event detection.

• The proposed method outperformed all of the baseline methods.

摘要

•A clustering-annotation-classification strategy is proposed for harvesting business events.•Effect of headline and lead of online news on event detection is studied.•The proposed method can well solve the problems of event definition and event detection.•The proposed method outperformed all of the baseline methods.

论文关键词：Text mining,Business event detection,Word embedding,Online news article

论文评审过程：Received 19 December 2018, Revised 11 June 2019, Accepted 13 July 2019, Available online 19 July 2019, Version of Record 19 July 2019.

论文官网地址：https://doi.org/10.1016/j.ipm.2019.102086