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This paper presents resources and functionalities for the selection of affective evaluative terms. An affective hierarchy as an extension of the WordNet-Affect lexical database was developed in the first place. The second phase was the development of a semantic similarity function, acquired automatically in an unsupervised way from a large corpus of texts that allows us to put into relation concepts and emotional categories. The integration of the two components is a key element for several applications.