Given a new word, we use WordNet again to obtain a synonym set of the unseen word to determine how it interacts with our sentiment seed lists.
we compute where c is a sentiment category (positive or negative), w is the unseen word, and syn n are the WordNet synonyms of w. To compute Equation 1, we tried two different models: where f k is the k th feature (list word) of sentiment class c which is also a member of the synonym set of w, and count(f k ,synset(w)) is the total number of occurrences of f k in the synonym set of w. P(c) is the number of words in class c divided by the total number of words considered.