Linking Humour to Blogs Analysis: Affective Traits in Posts⋆
Antonio Reyes, Paolo Rosso · 2015
Abstract. The Web 2.0 technologies are gradually changing our inter-communication habits. Means such as forums, blogs, wikis, social net-works, etc., are a clear sample about the importance of these tools for expressing and sharing contents, ideas, opinions and so on. From the Nat-ural Language Processing perspective, these technologies are a rich mine for tasks such as Sentiment Analysis, Automatic Humour Recognition or Opinion Mining. In this preliminary study we considered the importance of affectiveness information for blogs analysis. We focused on analysing a set of posts retrieved from a corpus of blogs related to humour in or-der to find the most salient items to represent the affectiveness in such sources. The results indicate that, in terms of a simple counting, there are affective features more linked to some moods than others. 1