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Supervised Learning Methods for Bangla Web Document Categorization
2014
International Journal of Artificial Intelligence & Applications
This paper explores the use of machine learning approaches, or more specifically, four supervised learning Methods, namely Decision Tree(C 4.5), K-Nearest Neighbour (KNN), Naïve Bays (NB), and Support Vector Machine (SVM) for categorization of Bangla web documents. This is a task of automatically sorting a set of documents into categories from a predefined set. Whereas a wide range of methods have been applied to English text categorization, relatively few studies have been conducted on Bangla
doi:10.5121/ijaia.2014.5508
fatcat:rewdaah5wzfy3i7usu7vt22xgi