A visual term discrimination value analysis method is introduced using a do
cument density space within a distance-angle-based visual information retri
eval environment. The term discrimination capacity is analyzed using the co
mparison of the distance and angle-based visual representations with and wi
thout a specified term, thereby allowing the user to see the impact of the
term on individual documents within the density space. Next, the concept of
a "term density space" is introduced for term discrimination analysis. Usi
ng this concept, a term discrimination capacity for distinguishing one term
from others in the space can also be visualized within the visual space, A
pplications of these methods facilitate more effective assignment of term w
eights to index terms within documents and may assist searchers in the sele
ction of search terms.