Text Categorization Using Machine Learning and Naive Bayes Classifier
Vol. 7 No. 1 (2018), Information technology applications
Vol. 7 No. 1 (2018)

Text Categorization Using Machine Learning and Naive Bayes Classifier

Information technology applications
Published 2023-09-11
  • Marek Špilda
Marek Špilda
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Keywords

machine learning, text classification, naive Bayes

How to Cite

Špilda, M. (2023). Text Categorization Using Machine Learning and Naive Bayes Classifier. Information Technology Applications, 7(1), 99–104. Retrieved from https://www.itajournal.com/index.php/ita/article/view/82
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Abstract

The aim of this paper is to explore, implement and verify the functionality of Naïve Bayes classifier to classify natural language texts into categories. A sample classifier was developed to evaluate the results. For text cleaning, different text features were labelled and tests were performed with different combinations of cleaning methods to evaluate its effects on the categorization accuracy.

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