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.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Irene Russo it
dc.authority.people Tommaso Caselli it
dc.authority.people Francesco Rubino it
dc.authority.people Ester Boldrini it
dc.authority.people Patricio MartínezBarco it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/21 05:56:41 -
dc.date.available 2024/02/21 05:56:41 -
dc.date.issued 2011 -
dc.description.abstracteng 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. -
dc.description.affiliations CNR-ILC, University of Alicante -
dc.description.allpeople Irene Russo; Tommaso Caselli; Francesco Rubino; Ester Boldrini; Patricio MartínezBarco -
dc.description.allpeopleoriginal Irene Russo, Tommaso Caselli, Francesco Rubino, Ester Boldrini, Patricio Martínez-Barco -
dc.description.fulltext none en
dc.description.note ID_PUMA: cnr.ilc/2011-A2-020 -
dc.description.numberofauthors 1 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/217960 -
dc.language.iso eng -
dc.relation.conferencedate 24 Giugno 2011 -
dc.relation.conferencename 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis -
dc.relation.conferenceplace Portland, USA -
dc.relation.firstpage 153 -
dc.relation.lastpage 160 -
dc.relation.numberofpages 8 -
dc.subject.keywords sentiment analysis -
dc.subject.singlekeyword sentiment analysis *
dc.title EMOCause: An Easy-adaptable Approach to Extract Emotion Cause Contexts en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 205736 -
iris.orcid.lastModifiedDate 2024/03/01 15:08:04 *
iris.orcid.lastModifiedMillisecond 1709302084296 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 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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