Word Sense Disambiguation (WSD) is the task of identifying which sense of an ambiguous
word given a context.
Naive Bayes (NB) classifiers 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
Classifier. (You must implement the Na¨ıve Bayes Classifier)
HI I have expertise in java, matlab and machine learning and I can do the method, if you are interested give me the details to see what needs to be done, regards