01286naa a2200253 a 450000100080000000500110000800800410001910000170006024501190007726000090019630000160020552004640022165000210068565000130070665000140071965300220073365300200075565300270077565300200080265300380082265300190086070000190087977301340089810059002020-01-16       2007    bl uuuu     u00u1 u    #d1 aMOURA, M. F.  aChoosing a hierarchical cluster labelling method for a specific domain document collection.h[electronic resource]  c2007  ap. 812-823.  aOne of the problems in automatic models to generate topic taxonomies is the process of creating the most significant word list that discriminates each document group. In this paper, some methods are proposed to discover these lists from hierarchical document groups, as well as the use os some classical methods for this task. The use of the methods was experimented by some domain specialists, trying to find a solution that could satisfy their expectations.  aCluster analysis  aTaxonomy  aTaxonomia  aCluster labelling  aClusterização  aDocumento hierárquico  aDomain taxonomy  aHierarchical documento clustering  aTopic taxonomy1 aREZENDE, S. O.  tIn: NEVES, J. M.; SANTOS, M. F.; MACHADO, J. M. (Ed.). New triends in artificial intelligence. Braga: Tipografia Tadinense, 2007.