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.

EMOCause: An Easy-adaptable Approach to Extract Emotion Cause Contexts

Irene Russo;
2011

Abstract

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.
2011
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Inglese
2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
153
160
8
Sì, ma tipo non specificato
24 Giugno 2011
Portland, USA
sentiment analysis
ID_PUMA: cnr.ilc/2011-A2-020
1
none
Irene Russo; Tommaso Caselli; Francesco Rubino; Ester Boldrini; Patricio MartínezBarco
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/217960
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