ABSTRACT: This paper reviews fault identification and predictive maintenance techniques essential for the reliable operation of high-voltage power systems. The increasing integration of renewable ...
Abstract: The purpose of the report is a comparative analysis of the Bernoulli and Multinomial Naive Bayes classifiers in text classification for machine learning. The conducted research demonstrates ...
A Multinomial Naive Bayes Classifier is a type of Naive Bayes algorithm used primarily for text classification tasks, such as spam detection, sentiment analysis, and document categorization. It is ...
Abstract: Data analysis of the textual data floating through social networking sites is being viewed as a promising source of knowledge people - the potential users and consumers of certain web ...
This project implements multinomial and Bernoulli Naive Bayes algorithms for text classification on the Reuters-21578 dataset. It covers data preprocessing, model training, evaluation, and statistical ...
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