Naive Bayes with Correlation Factor for Text Classification Problem
Information Retrieval
2019-05-16 v1 Machine Learning
Machine Learning
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.
Cite
@article{arxiv.1905.06115,
title = {Naive Bayes with Correlation Factor for Text Classification Problem},
author = {Jiangning Chen and Zhibo Dai and Juntao Duan and Heinrich Matzinger and Ionel Popescu},
journal= {arXiv preprint arXiv:1905.06115},
year = {2019}
}