Trend-based Document Clustering for Sensitive and Stable Topic Detection

Yoshihide Sato, Harumi Kawashima, Hidenori Okuda, Masahiro Oku. Trend-based Document Clustering for Sensitive and Stable Topic Detection. In Rachel E. O. Roxas, editor, Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation, PACLIC 22, Cebu City, Philippines, November 20-22, 2008. pages 331-340, De La Salle University (DLSU), Manila, Philippines, 2008. [doi]

Abstract

Abstract is missing.