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- W84784804 abstract "The Web 2.0 technologies are gradually changing our intercommunication habits. Means such as forums, blogs, wikis, social networks, etc., are a clear sample about the importance of these tools for expressing and sharing contents, ideas, opinions and so on. From the Natural 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 order 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." @default.
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- W84784804 date "2009-01-01" @default.
- W84784804 modified "2023-09-23" @default.
- W84784804 title "Linking Humour to Blogs Analysis: Affective Traits in Posts" @default.
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