Company event popularity for financial markets using Twitter and sentiment analysis

作者：

Highlights：

• The work proposes an Event Popularity Algorithm for Financial Trading.

• The approach is based on sentiment analysis to the social network Twitter.

• Planning and performing a financial community for the extraction of analyzed tweets.

• The events are focused on the thirty companies that compose the Dow Jones index.

摘要

•The work proposes an Event Popularity Algorithm for Financial Trading.•The approach is based on sentiment analysis to the social network Twitter.•Planning and performing a financial community for the extraction of analyzed tweets.•The events are focused on the thirty companies that compose the Dow Jones index.

论文关键词：Event popularity,Sentiment analysis,Twitter,Financial community

论文评审过程：Received 19 April 2016, Revised 3 November 2016, Accepted 18 November 2016, Available online 19 November 2016, Version of Record 30 November 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.022