Discovering public sentiment in social media for predicting stock movement of publicly listed companies

标题
Discovering public sentiment in social media for predicting stock movement of publicly listed companies
作者
关键词
Social media analysis, Twitter, Stock prediction, Data mining, Sentiment analysis, Big data, SMeDA-SA, Parallel architecture
出版物
INFORMATION SYSTEMS
Volume 69, Issue -, Pages 81-92
出版商
Elsevier BV
发表日期
2017-02-03
DOI
10.1016/j.is.2016.10.001

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started