Detecting Opinions Using Deep Syntactic Analysis

@inproceedings{Brun2011DetectingOU,
  title={Detecting Opinions Using Deep Syntactic Analysis},
  author={Caroline Brun},
  booktitle={RANLP},
  year={2011}
}
In this paper, we present an opinion detection system built on top of a robust syntactic parser. The goal of this system is to extract opinions associated with products but also with characteristics of these products, i.e. to perform feature-based opinion extraction. To carry out this task, and following a target corpus study, the robust syntactic parser is enriched by associating polarities to pertinent lexical elements and by developing generic rules to extract relations of opinions together… CONTINUE READING

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Sentiment Analysis and Subjectivity

Handbook of Natural Language Processing • 2010

Catégorisation des évaluations dans un corpus de blogs multidomaine

L. Monceaux, B. Daille, E. Dubreil
Revue des nouvelles technologies de l'information (RNTI). • 2009

Quel modèle pour détecter une opinion? Trois propositions pour généraliser l'extraction d'une idée dans un corpus, Deft’07, Grenoble

E. Charton, R. Acuna-Agosy
2007

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