A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Extracting semantic orientations of words using spin model
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Emotions evoked by common words and phrases: using mechanical turk to create an emotion lexicon
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Detecting Ironic Intent in Creative Comparisons
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Creative language retrieval: a robust hybrid of information retrieval and linguistic creativity
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Tracking sentiment in mail: how genders differ on emotional axes
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
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Since we can 'spin' words and concepts to suit our affective needs, context is a major determinant of the perceived affect of a word or concept. We view this re-profiling as a selective emphasis or de-emphasis of the qualities that underpin our shared stereotype of a concept or a word meaning, and construct our model of the affective lexicon accordingly. We show how a large body of affective stereotypes can be acquired from the web, and also show how these are used to create and interpret affective metaphors.