A lot of words have their Kansei images and they help to arouse the emotions and the feelings from text data such as novels, blogs, and so on. In this paper, we propose a method to extract common images of words from corpus data and express the images by using multidimensional vector. The Kansei images of the words are extracted from text corpus considering the grammatical features and they are classified into various axes based on the meaning of the adjectives.