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Applied Text-Mining Algorithms for Stock Price Prediction Based on Financial News Articles

Author

Listed:
  • Adrian Besimi

    (South East European University, North Macedonia)

  • Zamir Dika

    (South East European University, North Macedonia)

  • Visar Shehu

    (South East European University, North Macedonia)

  • Mubarek Selimi

    (South East European University, North Macedonia)

Abstract

This article includes a developed model and well-defined process that one should undertake in order to contribute in the prediction of the potential stock price fluctuation solely based on financial news from relevant sources. We are providing background information on this topic adding the role of text mining in general, furthermore supporting the idea with the study of relevant research articles to narrow the focus on the problemwe are researching.Our proposedmodel relies on existing text-mining techniques used for sentiment analysis, combinedwith historical data from relevant news sources as well as stock data. In confirming the model, after the experiment we have provided the results of the simulation, which are opening the ground for further explorations in this sensitive area of prediction.

Suggested Citation

  • Adrian Besimi & Zamir Dika & Visar Shehu & Mubarek Selimi, 2019. "Applied Text-Mining Algorithms for Stock Price Prediction Based on Financial News Articles," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 17(4 (Winter), pages 335-351.
    • Handle: RePEc:mgt:youmgt:v:17:y:2019:i:4:p:335-351
    DOI: 10.26493/1854-6935.17.335-351
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    Citations

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    Cited by:

    1. Sturm, Silke, 2021. "Textdaten: Anwendungen und Herausforderungen," Edition HWWI: Chapters, in: Straubhaar, Thomas (ed.), Neuvermessung der Datenökonomie, volume 6, pages 129-156, Hamburg Institute of International Economics (HWWI).
    2. Alenka Lena Klopcic & Jana Hojnik & Stefan Bojnec & Drago Papler, 2020. "Global Transition to the Subscription Economy: Literature Review on Business Model Changes in the Media Landscape," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 18(4 (Winter), pages 323-348.

    More about this item

    Keywords

    text mining; finance; news; crawling; stock; prices; prediction; naive bayes;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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