Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

1 PG & Research Department of Computer Science, D.G.Vaishnav College, Chennai, India. 2 PG Department of IT & BCA, D.G.Vaishnav College, Chennai, India. 3 Department of Computer Science, Souht East ...

Banks are important for the development of economies in any financial ecosystem through consumer and business loans. Lending, however, presents risks; thus, banks have to determine the applicant’s ...

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: In this digital era, there is a lot of information available, one of which is news information. In the dissemination of this news information, there is real news and fake news. This can have ...

Abstract: Big data is defined with 3 V which are volume, velocity and variety. It is hard to analyze, store and process this data because of its size and complexity. When traditional tools are used to ...

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 ...