Naive Bayes Classier2 - open to bidding

Word Sense Disambiguation (WSD) is the task of identifying which sense of an ambiguous word given a context. Table 1 shows an example for the word "pen". Naive Bayes (NB) classiers is one of the best methods for supervised approach for WSD. We try to choose correct sense of a word (e.g. "pen") in this assignmen by using Naive Bayes Classier. (You must implement the Nave Bayes Classier)