News article analysis using Naive Bayes classifier

Ana Vujovic
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Ana Vujovic: National Bank of Serbia

Working Papers Bulletin from 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.

Keywords: Naive Bayes classifier; thematic classification; natural language processing (search for similar items in EconPapers)
JEL-codes: C13 E37 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2025-03
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Persistent link: https://EconPapers.repec.org/RePEc:nsb:bilten:27

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