In this paper, we propose a Poisson naive Bayes text classification model with feature weighting. Our new model uses the normalized and smoothed term.

PDF | In this paper, we investigate the use of multivariate Poisson model and feature weighting to learn naive Bayes text classifier. | Find, read and cite ...

In this paper, we propose a Poisson naive Bayes text classification model with feature weighting. Our new model uses the normalized and smoothed term.

Classification of english phrases and SMS text messages using Bayes and Support Vector Machine classifiers · Computer Science. Canadian Conference on Electrical ...

In this paper, we investigate the use of multivariate Poisson model and feature weighting to learn naive Bayes text classifier. Our new naive Bayes text ...

Bibliographic details on Poisson naive Bayes for text classification with feature weighting.

In this paper, we investigate the use of multivariate Poisson model and feature weighting to learn naive Bayes text classifier. Cite · Download full-text ...

Abstract: Naive Bayes(NB) algorithm is simple and efficient when applied to text classification,but it has a bottleneck in accuracy due to the intrinsic ...

This paper presents two feature evaluation metrics for the Naïve Bayesian classifier applied on multi-class text datasets: Multi-class Odds Ratio (MOR), and ...

This paper uses a statistical feature weighting technique and proposes a new class-specific deep feature weighting method for Multinomial Naïve Bayes text ...