Text classification is the task of assigning predefined classes to free-text documents, and it can provide conceptual views of document collections. The multinomial naïve Bayes (NB) classifier is one NB classifier variant, and it is often used as a baseline in text classification. However, multinomial NB classifier is not fully Bayesian. This study proposes a Bayesian version NB classifier. Finally, experimental results on 20 newsgroup show that Bayesian multinomial NB classifier with suitable Dirichlet hyper-parameters has similar performance with multinomial NB classifier.
CITATION STYLE
Xu, S., Li, Y., & Wang, Z. (2017). Bayesian multinomial naïve bayes classifier to text classification. In Lecture Notes in Electrical Engineering (Vol. 448, pp. 347–352). Springer Verlag. https://doi.org/10.1007/978-981-10-5041-1_57
Mendeley helps you to discover research relevant for your work.