抽象的

Empirical Comparative Study to Some Supervised Approaches

Boshra F. Zopon AL_Bayaty, Dr. Shashank Joshi

Word sense disambiguation is solved with the help of various data mining approaches like Naïve Bayes Approach, Decision List, decision tree, and SVM (Support Vector machine). These approaches help to find out correct meaning of word by referring WordNet 2.1. Experiment performed is discussed in this paper along with the comparison of SVM algorithm with various approaches. In this study Decision List achieved the best result among all other approaches.