In this paper we focus on the problem of class discrimination issues to improve performance of text classification, and study a discrimination-based feature ...
Experimental results show that discrimination-based feature selection method has good contributions to enhance discrimination power of text classification ...
In this paper we focus on the problem of class discrimination issues to improve performance of text classification, and study a discrimination-based feature ...
In this paper we focus on the problem of class discrimination issues to improve performance of text classification, and study a discrimination-based feature ...
This paper presents two feature evaluation metrics for the Naïve Bayesian classifier applied on multi-class text datasets: Multi-class Odds Ratio (MOR), and ...
Multinomial naive Bayes text classification was proposed by Maron (1961) at the ... add-δ smoothing and information-based feature selection. The conditional ...
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Jun 25, 2014 · 1) You can use a Chi-Squared test or Mutual information for feature relevance extraction as explained in detail on this link. In a nutshell, ...
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Oct 22, 2024 · This paper presents two feature evaluation metrics for the Naïve Bayesian classifier applied on multi-class text datasets: Multi-class Odds ...
An empirical study comparing performance of few feature selection techniques employed with different classifiers like naive bayes, SVM, decision tree and ...
Apr 13, 2021 · In this study, we proposed a new FS method named as Extensive Feature Selector (EFS), which benefits from corpus-based and class-based probabilities in its ...