Identifying Topics by using Word Distribution

In this work, we examine and verify a topic word model which says each topic can be identified by means of word distribution under same author, and by using random projection, one of the dimension reduction techniques, we show we can obtain efficient and effective processing to the model. We examine Shakespeare works and show we can identify scenes correctly to their dramas.