Affective computing is advancing as a field that allows a new way of human computer interaction, in addition to the use of natural language. There is a wide perception that the future of HCI is in themes such as entertainment, emotions, aesthetic pleasure, motivation, attention, engagement, etc. Studying the relation between natural language and affective information and dealing with a computational treatment is becoming crucial. We put efforts in this direction, in particular addressing some aspects of computational humour. NLP was exploited to build systems that were capable of inducing amusement and affecting the emotive state of users. The present paper covers the relation between lexicon and affective concepts. We developed a preliminary version of a lexical resource (that we called "Affect", containing words in an affective lexicon. Then, considering the lexical knowledge base "WordNet", we linked the senses of the words in "Affect", then called "WordNet-Affect"