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News article analysis using Naive Bayes classifier

Author

Listed:
  • 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
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    More about this item

    Keywords

    Naive Bayes classifier; thematic classification; natural language processing;
    All these keywords.

    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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