Abstract
In the study of Affective Computing, the lexicon-based approach represents a useful mechanism that consists on using rated words to understand their affective role in a conversation. One of the most used lists of affectively rated words is the Affective Norms for English Words (ANEW), which evaluates the dimensions of pleasure, arousal and dominance for the English language. This list has been translated for other languages such as German or Spanish with effective results; however, there is not an affective lexicon for Mexican Spanish, rated by Mexicans. Based on the ANEW methodology, but using the most frequently words in Mexican Spanish language, similar to emoticons figures for the evaluation and an ad hoc app to collect the data, a list with means and standard deviation for Mexican Spanish words was obtained. Results and main differences with the ANEW study are here discussed.
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