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Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data

Author

Listed:
  • Sohrabi, Babak

    (Faculty of Management, University of Tehran)

  • Khalili Jafarabad, Ahmad

    (Faculty of Management, University of Tehran)

  • Hadizadeh, Ardalan

    (Faculty of Management, University of Tehran)

Abstract

Today, social networks are fast and dynamic communication intermediaries that are a vital business tool. This study aims at examining the views of those involved with Facebook stocks so that we can summarize their views to predict the general behavior of this stock and collectively consider possible Facebook stock price movements,

Suggested Citation

  • Sohrabi, Babak & Khalili Jafarabad, Ahmad & Hadizadeh, Ardalan, 2020. "Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(3), pages 235-251, July.
    • Handle: RePEc:mbr:jmonec:v:15:y:2020:i:3:p:235-251
    as

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    References listed on IDEAS

    as
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    2. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    3. Timmermann, Allan & Granger, Clive W. J., 2004. "Efficient market hypothesis and forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
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