Ichiro Kobayashi

Recently, several latent topic analysis methods such as LSI, pLSI, and LDA have been widely used for text analysis. However, those meth-ods basically assign topics to words, but do not account for the events in a document. With this background, in this paper, we propose a latent topic extracting method which assigns topics to events. We also show that our pro-posed method is useful to generate a document summary based on a latent topic.