Learning representation from multiple media domains for enhanced event discovery

作者：

Highlights：

• Multi-domain event discovery is advocated, covering news media and social media.

• A data representation learning model is proposed base on matrix factorizations.

• A multi-domain and multimodal real-world event dataset has been released on GitHub.

摘要

•Multi-domain event discovery is advocated, covering news media and social media.•A data representation learning model is proposed base on matrix factorizations.•A multi-domain and multimodal real-world event dataset has been released on GitHub.

论文关键词：Data representation learning,Event detection,Social media,Multi-modality data

论文评审过程：Received 29 October 2019, Revised 5 June 2020, Accepted 6 September 2020, Available online 10 September 2020, Version of Record 14 September 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107640