Stream-based active learning for sentiment analysis in the financial domain

@article{Smailovic2014StreambasedAL,
  title={Stream-based active learning for sentiment analysis in the financial domain},
  author={Jasmina Smailovic and Miha Grcar and N. Lavrac and M. Znidarsic},
  journal={Inf. Sci.},
  year={2014},
  volume={285},
  pages={181-203}
}
Studying the relationship between public sentiment and stock prices has been the focus of several studies. This paper analyzes whether the sentiment expressed in Twitter feeds, which discuss selected companies and their products, can indicate their stock price changes. To address this problem, an active learning approach was developed and applied to sentiment analysis of tweet streams in the stock market domain. The paper first presents a static Twitter data analysis problem, explored in order… Expand
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