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A Proposed Model for Stock Price Prediction Based on Financial News

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019

Author

Listed:
  • Selimi, Mubarek
  • Besimi, Adrian

Abstract

In this paper we will propose a model and needed steps that one should undertake in order to try and predict potential stock price fluctuation solely based on financial news from relevant sources. The paper will start with providing background information on the problem and text mining in general, furthermore supporting the idea with relevant research papers needed to focus on the problem we are researching. Our model relies on existing text-mining techniques used for sentiment analysis, combined with historical data from relevant news sources as well as stock data.

Suggested Citation

  • Selimi, Mubarek & Besimi, Adrian, 2019. "A Proposed Model for Stock Price Prediction Based on Financial News," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, pages 100-107, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr19:207669
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    File URL: https://www.econstor.eu/bitstream/10419/207669/1/13-ENT-2019-Selimi-et-al-100-107.pdf
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    Citations

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    Cited by:

    1. Mydyti Hyrmet & Kadriu Arbana & Pejic Bach Mirjana, 2023. "Using Data Mining to Improve Decision-Making: Case Study of A Recommendation System Development," Organizacija, Sciendo, vol. 56(2), pages 138-154, May.

    More about this item

    Keywords

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

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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