Neha Sharma
2016 International Journal of Engineering Science Invention Research & Development   unpublished
Classification, particularly Text Classification, is a supervised learning approach categorizing into various categories, the available training set of correctly identified observations analyzed into a set of features. There are many phases involved in classification. The main classification phase involves the use of classification algorithms or classifiers. Among the various classifiers, the Naïve Bayes Classifier belongs to a family of probabilistic classifiers based on the Bayes theorem and
more » ... Bayes theorem and the independence assumption criteria and is of great use in the fields of document classification and disease prediction. This paper discusses the classification process using the Naïve Bayes Classifier and surveys the recent developments in the same particularly in domains of health care and semantic analysis.