Bayesian Naïve Bayes classifiers to text classification

By Shuo Xu. Journal of information science, 2018

300 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/a51aa580863a91d8410556c926a1995a77276d79

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Lichao Sun
2. Philip S. Yu
3. Congyin Xia
4. Jianxin Li
5. Risul Islam
6. Renyu Yang
7. Qian Li
8. Michalis Faloutsos

Citations in the corpus

• A Survey on Text Classification: From Traditional to Deep Learning (2020, methodology): “Bernoulli NB, Gaussian NB and Multinomial NB are three popular approaches of NB text classification [32].”
• SourceFinder: Finding Malware Source-Code from Publicly Available Repositories (2020, methodology): “As a result, the Naive Bayes is considered a dependable algorithm for text classification and it is often used as the benchmark to beat [66].”
• Survey on supervised machine learning techniques for automatic text classification (2019, methodology): “The experiment results between SVM and Naive Bayes classifier under text enrichment via Wikitology was compared by Xu (2018).”