Toward a unifying model for Opinion, Sentiment and Emotion information extraction
International audience This paper presents a logical formalization of a set 20 semantic categories related to opinion, emotion and sentiment. Our formalization is based on the BDI model (Belief, Desire and Intetion) and constitues a first step toward a unifying model for subjective information extra...
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ftccsdartic:oai:HAL:hal-01613403v1 2023-05-15T16:47:56+02:00 Toward a unifying model for Opinion, Sentiment and Emotion information extraction Fraisse, Amel Paroubek, Patrick Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI) Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919) Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11) Reykjavik, Iceland 2014-05-26 https://hal.archives-ouvertes.fr/hal-01613403 https://hal.archives-ouvertes.fr/hal-01613403/document https://hal.archives-ouvertes.fr/hal-01613403/file/amel_fraisse.pdf en eng HAL CCSD European Language Resources Association (ELRA) hal-01613403 https://hal.archives-ouvertes.fr/hal-01613403 https://hal.archives-ouvertes.fr/hal-01613403/document https://hal.archives-ouvertes.fr/hal-01613403/file/amel_fraisse.pdf info:eu-repo/semantics/OpenAccess The 9th International Conference on Language Resources and Evaluation https://hal.archives-ouvertes.fr/hal-01613403 The 9th International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland. pp.3881-3886 http://www.lrec-conf.org/proceedings/lrec2014/index.html Affective Lexicons Sentiment Analysis Opinion mining Affective Lexicon [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing info:eu-repo/semantics/conferenceObject Conference papers 2014 ftccsdartic 2021-12-19T02:30:58Z International audience This paper presents a logical formalization of a set 20 semantic categories related to opinion, emotion and sentiment. Our formalization is based on the BDI model (Belief, Desire and Intetion) and constitues a first step toward a unifying model for subjective information extraction. The separability of the subjective classes that we propose was assessed both formally and on two subjective reference corpora. Conference Object Iceland Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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ftccsdartic |
language |
English |
topic |
Affective Lexicons Sentiment Analysis Opinion mining Affective Lexicon [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing |
spellingShingle |
Affective Lexicons Sentiment Analysis Opinion mining Affective Lexicon [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing Fraisse, Amel Paroubek, Patrick Toward a unifying model for Opinion, Sentiment and Emotion information extraction |
topic_facet |
Affective Lexicons Sentiment Analysis Opinion mining Affective Lexicon [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing |
description |
International audience This paper presents a logical formalization of a set 20 semantic categories related to opinion, emotion and sentiment. Our formalization is based on the BDI model (Belief, Desire and Intetion) and constitues a first step toward a unifying model for subjective information extraction. The separability of the subjective classes that we propose was assessed both formally and on two subjective reference corpora. |
author2 |
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI) Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919) Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11) |
format |
Conference Object |
author |
Fraisse, Amel Paroubek, Patrick |
author_facet |
Fraisse, Amel Paroubek, Patrick |
author_sort |
Fraisse, Amel |
title |
Toward a unifying model for Opinion, Sentiment and Emotion information extraction |
title_short |
Toward a unifying model for Opinion, Sentiment and Emotion information extraction |
title_full |
Toward a unifying model for Opinion, Sentiment and Emotion information extraction |
title_fullStr |
Toward a unifying model for Opinion, Sentiment and Emotion information extraction |
title_full_unstemmed |
Toward a unifying model for Opinion, Sentiment and Emotion information extraction |
title_sort |
toward a unifying model for opinion, sentiment and emotion information extraction |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.archives-ouvertes.fr/hal-01613403 https://hal.archives-ouvertes.fr/hal-01613403/document https://hal.archives-ouvertes.fr/hal-01613403/file/amel_fraisse.pdf |
op_coverage |
Reykjavik, Iceland |
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Iceland |
genre_facet |
Iceland |
op_source |
The 9th International Conference on Language Resources and Evaluation https://hal.archives-ouvertes.fr/hal-01613403 The 9th International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland. pp.3881-3886 http://www.lrec-conf.org/proceedings/lrec2014/index.html |
op_relation |
hal-01613403 https://hal.archives-ouvertes.fr/hal-01613403 https://hal.archives-ouvertes.fr/hal-01613403/document https://hal.archives-ouvertes.fr/hal-01613403/file/amel_fraisse.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
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1766038037592014848 |