Abstract
This paper proposes a novel keyword discrimination method by focusing on information flows on weblogs. Our approach assumes that the process of the term diffusion among bloggers is determined by the influence of the terms and the bloggers. We make a matrix whose elements indicate the number of bloggers to whom a blogger conveyed a term, and get the first left and right singular vectors as the influence of the terms and the bloggers. The highly influential terms are the keywords. As a result, we can extract not only bursty terms but also terms mentioned constantly as keywords.
