Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from twitter

The analysis of microblogging data related with stock mar- kets can reveal relevant new signals of investor sentiment and attention. It may also provide sentiment and attention indicators in a more rapid and cost-effective manner than other sources. In this study, we created several indicators using...

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Bibliographic Details
Main Author: Oliveira, Nuno (author)
Other Authors: Cortez, Paulo (author), Areal, Nelson (author)
Format: conferencePaper
Language:eng
Published: 2013
Subjects:
Text mining
Sentiment analysis
Microblogging data
Returns
Trading volume
Volatility
Online Access:http://hdl.handle.net/1822/26786
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/26786

Internet

http://hdl.handle.net/1822/26786

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