The purpose of this project was to build and analyse various deep learning models for text readability classification in order to determine whether a piece of text is easy or hard to read. Naive Bayes ...
ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Abstract: Precision marketing of e-commerce has become a topic of common concern for scholars at home and abroad. This paper proposes an e-commerce precision marketing model for naive Bayes and random ...
Naive Bayes is a probabilistic machine learning algorithm that can be used to solve a wide range of classification problems. Typical applications include spam filtering, document classification, ...
Abstract: The Naive Bayes classifier is a popular machine learning method for text classification because it is fast and easy to implement and performs well. Its severe assumption that each feature ...
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