Genre classification is one of the primary tasks of music information retrieval systems. Within the Indian context, most work on genre classification has relied on feature extraction from audio input and hardly any work has gone into lyrics based classification \citep{kini2011}; \citep{jothilakshmi2012}. In this paper, we analyse three genres in Bundeli folk musicÍž Gaari, Rai and Phag. We use an ensemble of probabilistic and statistical techniques to affect a classification of these genres based on ngram token frequencies of both stopwords and Part-of-Speech (POS) based lyrical features. In addition, we successfully demonstrate that a set of common stopwords in Bundeli can be used to categorize song genres and Bundeli news.