期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：12
出版社：S&S Publications
摘要：Word sense disambiguation is solved with the help of various data mining approaches like Naïve BayesApproach, Decision List, decision tree, and SVM (Support Vector machine). These approaches help to find out correctmeaning of word by referring WordNet 2.1. Experiment performed is discussed in this paper along with the comparisonof SVM algorithm with various approaches. In this study Decision List achieved the best result among all otherapproaches.
