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A comparative study of Naive Bayes Classifiers with improved technique on Text Classification
  • Chingmuankim Naulak
Chingmuankim Naulak
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Abstract

Experiment was carried out on imbalanced data having positive and negative labels as 0 and 1. These datasets after training were tested on Gaussian Naive Bayes, Bernoulli Naive Bayes and Multinomial Naive Bayes with improved technique using tf-idf and ngram. The results obtained were then compared with old model result that make use of BagofWords. On testing it is found that there is a 2-3% improvement in the model’s performance.