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

Title
Discovering public sentiment in social media for predicting stock movement of publicly listed companies
Authors
Keywords
Social media analysis, Twitter, Stock prediction, Data mining, Sentiment analysis, Big data, SMeDA-SA, Parallel architecture
Journal
INFORMATION SYSTEMS
Volume 69, Issue -, Pages 81-92
Publisher
Elsevier BV
Online
2017-02-03
DOI
10.1016/j.is.2016.10.001

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