Sentiment classifying knowledge is defined as the importance of all 2-tuples <word, epos> that compose the context of CC i (given as an example) to sentiment classification and every Concerned Concept like CC i has its own positive and negative sentiment classifying knowledge that can be formalized as a 3-tuple K: To CC i , its S i pos has concrete form that is described as a set of 5-tuples: Where S i pos represents the positive sentiment classifying knowledge of CC i , and it is a data set about all 2-tuples <word, epos> appearing in the sentences containing CC i in training texts with positive view.
s i neg is acquired from the training texts with negative view.