Multinomial Naive Bayes Algorithm. Document classification using multinomial naive bayes classifier document classification is a classical machine learning problem. The multinomial distribution normally requires integer feature counts.
Multinomial naive bayes classifier. Each sample represents by the feature vector in which certain events have been counted in multinomial model. At last gaussian is based on continuous distribution.
If there is a set of documents that is already categorized labeled in existing categories the task is to automatically categorize a new document into one of the existing categories.
From wikipedia multinomial naive bayes is one of classic naive bayes variants mostly used in document classfication. One issue is that if a word appears again the probability of it appearing again goes up. Document classification using multinomial naive bayes classifier document classification is a classical machine learning problem. From wikipedia multinomial naive bayes is one of classic naive bayes variants mostly used in document classfication.
