A text-driven rule-based system for emotion cause detection
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
EmotiBlog: a finer-grained and more precise learning of subjectivity expression models
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Emotion cause detection with linguistic constructions
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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In this paper we present a method to automatically identify linguistic contexts which contain possible causes of emotions or emotional states from Italian newspaper articles (La Repubblica Corpus). Our methodology is based on the interplay between relevant linguistic patterns and an incremental repository of common sense knowledge on emotional states and emotion eliciting situations. Our approach has been evaluated with respect to manually annotated data. The results obtained so far are satisfying and support the validity of the methodology proposed.