Finding comparatively important concepts between texts






Finding important concepts is a necessary 
task in requirements engineering. For example, it 
is needed when building models of a 
domain or organising requirements documents. Since a 
lot of information is available in textual 
form, methods to identify important concepts from 
texts are potentially useful. Traditional methods for 
finding important concepts from texts rely on 
the assumption that the most frequent concepts 
are the most important. In this paper, 
we present an approach that does not 
depend on this assumption. It makes use 
of two texts to find important concepts 
comparatively. We show that this approach is 
viable. It discovers concepts similar to those 
found by traditional approaches as well as 
concepts that are not frequent. Finally, we 
discuss the possibility of extending this work 
to requirements classification.