People are able of transforming emotions into words, as a mechanism to communicate it. Additionally people are able to express emotions which can be grouped around specific interest centers. These two elements are considered as the basis for this work, which analyzes how people react when exposed to similar concepts. Different human groups are able to express themselves about a common phenomenon, by using different lexical elements. This work collects information from different geographic regions, considering an heterogeneous population. We present in this work the way people using a common language represent concepts which describe emotions depending on location and other variables, like educational level, gender and age, among others. The collection of the available lexicon is achieved through the use of the lexical availability methodology, supported by using neural networks.