Toward a unifying model for Opinion, Sentiment and Emotion information extraction

Amel Fraisse, Patrick Paroubek


Abstract
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.
Anthology ID:
L14-1009
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3881–3886
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1010_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Amel Fraisse and Patrick Paroubek. 2014. Toward a unifying model for Opinion, Sentiment and Emotion information extraction. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3881–3886, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Toward a unifying model for Opinion, Sentiment and Emotion information extraction (Fraisse & Paroubek, LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1010_Paper.pdf