The study was applied to context window sizes and weighting method to obtain the best performance of word sense disambiguation using support vector machine. The context window sizes were used to a 3-word, sentence, 50-bytes, and document window around the targeted word.The weighting methods were used to Binary, Term Frequency(TF), TF × Inverse Document Frequency(IDF), and Log TF × IDF. As a result, the performance of 50-bytes in the context window size was best. The Binary weighting method showed the best performance.
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