6533b7d0fe1ef96bd125ab7b
RESEARCH PRODUCT
The language of emotion in short blog texts
Alastair J. GillDarren GergleRobert M. FrenchJon Oberlandersubject
Expression (architecture)Content analysisbusiness.industryEmotion perceptionSemantic spaceArtificial intelligencePsychologycomputer.software_genreAffect (psychology)businesscomputerNatural language processingCognitive psychologydescription
Emotion is central to human interactions, and automatic detection could enhance our experience with technologies. We investigate the linguistic expression of fine-grained emotion in 50 and 200 word samples of real blog texts previously coded by expert and naive raters. Content analysis (LIWC) reveals angry authors use more affective language and negative affect words, and that joyful authors use more positive affect words. Additionally, a co-occurrence semantic space approach (LSA) was able to identify fear (which naive human emotion raters could not do). We relate our findings to human emotion perception and note potential computational applications.
year | journal | country | edition | language |
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2008-11-08 | Proceedings of the 2008 ACM conference on Computer supported cooperative work |