Output details
11 - Computer Science and Informatics
University of Edinburgh
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Output 0 of 0 in the submission
Output title
Emotion rating from short blog texts
Type
E - Conference contribution
Name of conference/published proceedings
Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems
Volume number
-
Issue number
-
First page of article
1121
ISSN of proceedings
-
Year of publication
2008
Number of additional authors
3
Additional information
<22> Originality: Our earlier work explored how a writer's affective state (emotion, mood, personality) is reflected in their text. This paper showed how readers can detect some emotions (eg sadness) from very short online texts. Linked work showed that for other emotions (eg fear), machines outperform human judges.
Significance: Most widely-cited of three linked papers in 2008. Work has led to grant proposals with emotional expression at core (eg FP7 ARNIE proposal 601035).
Rigour: Linked papers in strong conference venues (CSCW, CogSci, SIGCHI), eg this was in CHI 2008: 22% acceptance.
Interdisciplinary
-
Cross-referral requested
-
Research group
D - Institute for Language, Cognition & Computation
Citation count
6
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
