A methodology for the resolution of cashtag collisions on Twitter – A natural language processing & data fusion approach

作者：

Highlights：

• Machine learning classifiers can be used to resolve cashtag collisions on Twitter.

• Classifiers benefit from custom company corpora created through data fusion.

• Support Vector Machines outperform other classifiers in this regard.

摘要

•Machine learning classifiers can be used to resolve cashtag collisions on Twitter.•Classifiers benefit from custom company corpora created through data fusion.•Support Vector Machines outperform other classifiers in this regard.

论文关键词：Cashtag collision,Twitter,Stock market,Data fusion,Machine learning,Natural language processing

论文评审过程：Received 22 November 2018, Revised 11 March 2019, Accepted 12 March 2019, Available online 12 March 2019, Version of Record 20 March 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.019