# Naive Bayes with Correlation Factor for Text Classification Problem

## TL;DR

This paper introduces a modified Naive Bayes classifier that incorporates a correlation factor to improve text classification accuracy, especially with small training datasets.

## Contribution

It proposes a novel Naive Bayes-based method with a correlation factor to enhance performance on limited data.

## Key findings

- Improved accuracy over traditional Naive Bayes on real-world data
- Effective handling of small training datasets
- Correlation factor enhances class distinction

## Abstract

Naive Bayes estimator is widely used in text classification problems. However, it doesn't perform well with small-size training dataset. We propose a new method based on Naive Bayes estimator to solve this problem. A correlation factor is introduced to incorporate the correlation among different classes. Experimental results show that our estimator achieves a better accuracy compared with traditional Naive Bayes in real world data.