Design of a Semantic Lexicon Affective Applied to an Analysis Model Emotions for Teaching Evaluation.

There is an exponential interest by companies and researchers to identify the emotions that the users can express on their comments in different social media, for this reason the sentiment analysis has turned in one of the most researches on Natural Language Processing area with the purpose of creating resources as the lexical to do this homework. However, due to the variety of areas and contexts it is necessary to create or adequate lexical that allows to get the desired results. This work presents the basis for the development of Affective Semantic Lexicon. For the development of the lexicon is considered a grammatical lexicon and a graphic lexicon that will be evaluated then, be implement on a Sentiment Analysis Model applied to Professors' Assessments of Higher Education Institutions.