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Mood patterns and affective lexicon access in weblogs

conference contribution
posted on 2010-07-13, 00:00 authored by Thin NguyenThin Nguyen
The emergence of social media brings chances, but also challenges, to linguistic analysis. In this paper we investigate a novel problem of discovering patterns based on emotion and the association of moods and affective lexicon usage in blogosphere, a representative for social media. We propose the use of normative emotional scores for English words in combination with a psychological model of emotion measurement and a nonparametric clustering process for inferring meaningful emotion patterns automatically from data. Our results on a dataset consisting of more than 17 million mood-groundtruthed blogposts have shown interesting evidence of the emotion patterns automatically discovered that match well with the core-affect emotion model theorized by psychologists. We then present a method based on information theory to discover the association of moods and affective lexicon usage in the new media.



Association for Computational Linguistics. Workshop (2010 : Uppsala, Sweden)


Association for Computational Linguistics Workshop


43 - 48


Association for Computational Linguistics


Uppsala, Sweden

Place of publication

Stroudsburg, Pa.

Start date


End date




Publication classification

EN.1 Other conference paper

Copyright notice

2010, Association for Computational Linguistics



Title of proceedings

ACLstudent '10 : Proceedings of the ACL 2010 Student Research Workshop