Abstract
Text Categorization plays a predominant role in Natural Language Processing (NLP) and Information Retrieval (IR) applications. This work highlights the performance of different Naïve Bayesian methods for paragraph level Text Classification in the Kannada language. The dimensionality reduction technique is achieved using minimum term frequency, stop word identification and removal methods.
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