In this paper, we propose a Japanese document processing system by using Self-Organizing Maps (SOM). Japanese documents are represented on a map and similarity relations between documents are visualized. Our system contains three kinds of parameters. The丘rst is the dimension of the vectors, which expresses the Japanese words. The second (third) is the size of the word category map (document map). We obtain optimal values for these parameters by classification of the two different kinds of documents.