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

被引：0
|
作者：
Fraisse, Amel [1 ]
Paroubek, Patrick [1 ]
机构：
[1] Univ Paris 11, LIMSI CNRS, Orsay, France
来源：
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2014年
关键词：
Sentiment Analysis; Opinion mining; Affective Lexicon;
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
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.
引用
收藏
页码：3881 / 3886
页数：6
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