Abstract
In this paper, we propose a method for classification and retrieval of news contents based on automatically extracted tags. A criteria of tagging is set based on the result of a subjective experiment. A tag crowd is used for visualization of the tags, in which an important tag is displayed with large size. The level of importance of the tag is calcurated by the frequency and time of its appearance. As a result of evaluation of the method, the contents of whole news site are easily comprehended by the tag crowds, however, the tag crowds depends on the news source. The accuracy of retrieval is evaluated as precise.
