Predictive Sentiment Analysis of Tweets: A Stock Market Application

The application addressed in this paper studies whether Twitter feeds, expressing public opinion concerning companies and their products, are a suitable data source for forecasting the movements in stock closing prices

Jasmina Smailović; Miha Grčar; Nada Lavrač; Martin Žnidaršič

2013

Scholarcy highlights

  • The application addressed in this paper studies whether Twitter feeds, expressing public opinion concerning companies and their products, are a suitable data source for forecasting the movements in stock closing prices
  • We use the term predictive sentiment analysis to denote the approach in which sentiment analysis is used to predict the changes in the phenomenon of interest
  • Positive sentiment probability is proposed as a new indicator to be used in predictive sentiment analysis in finance
  • By using the Granger causality test we show that sentiment polarity can indicate stock price movements a few days in advance
  • ACM Transactions on Intelligent Systems and Technology 2(3), 27Google Scholar

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