1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...
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 ...
This project implements a simple yet effective email spam detection system using Natural Language Processing (NLP) and machine learning techniques. It classifies incoming messages as "spam" or "ham" ...
Abstract: With the rapid development of the times, the proliferation of spam SMS seriously affects the normal use of cell phone users and the safety of personal property. Therefore, in order to ...
Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...
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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