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News article analysis using Naive Bayes classifier

Author

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  • Ana Vujovic

    (National Bank of Serbia)

Abstract

The paper presents the Naive Bayes classifier (NBC), one of the standard models used for solving classification problems, in the context of textual analysis. The model is examined first from a theoretical perspective and then from a practical one. An empirical study was conducted with the aim of carrying out a thematic classification of news articles using the NBC. The results of our research confirm that the NBC has a high predictive power despite the simplified assumptions on which it is based. These findings suggest a potential for further application of the NBC in the thematic classification of texts, which may have significant implications for economic research.

Suggested Citation

  • Ana Vujovic, 2025. "News article analysis using Naive Bayes classifier," Working Papers Bulletin 27, National Bank of Serbia.
    • Handle: RePEc:nsb:bilten:27
    as

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    File URL: https://www.nbs.rs/documents-eng/publikacije/wp_bulletin/wp_bulletin_03_25_5.pdf
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    References listed on IDEAS

    as
    1. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
    2. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    3. Eleni Kalamara & Arthur Turrell & Chris Redl & George Kapetanios & Sujit Kapadia, 2022. "Making text count: Economic forecasting using newspaper text," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 896-919, August.
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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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