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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Jayashree, R., Srikanta Murthy, K., Anami, B.S. (2013). Performance Analysis of Naïve Bayesian Methods for Paragraph Level Text Classification in the Kannada Language. In: Stephanidis, C. (eds) HCI International 2013 - Posters’ Extended Abstracts. HCI 2013. Communications in Computer and Information Science, vol 374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39476-8_88
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DOI: https://doi.org/10.1007/978-3-642-39476-8_88
Publisher Name: Springer, Berlin, Heidelberg
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