ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Abstract: The Naïve Bayes Classifier (NB) aims at classifying a given instance into a discrete class considering that all attributes are conditionally independent given the class. NB has been ...

The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...

In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning method, ...

This repository contains a Jupyter notebook implementing the Multinomial Naive Bayes algorithm from scratch for an email classification task of SPAM or HAM. The notebook also includes a comparison of ...

PHP implementation of Naive Bayes classifier for text classification and sentiment analysis. Includes text preprocessing, multilingual support, model persistence, incremental learning, and practical ...

Abstract: Text classification algorithms, such SVM, and Naïve Bayes, have been developed to build up search engines and construct spam email filters. As a simple yet powerful sample of Bayesian ...