Opinion Targets Identification Based on Kernel Sentences Extraction and Candidates Selection - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Opinion Targets Identification Based on Kernel Sentences Extraction and Candidates Selection

Hengxun Li
  • Fonction : Auteur
  • PersonId : 1020682
Chun Liao
  • Fonction : Auteur
  • PersonId : 1020683
Ning Wang
  • Fonction : Auteur
  • PersonId : 1020685
Guangjun Hu
  • Fonction : Auteur
  • PersonId : 1020684

Résumé

With the developing of the Internet, communication becomes more and more frequent, and the traditional opinion mining technology has been unable to meet the people’s needs, especially in the field of opinion targets identification. Therefore, how to do appropriate pre-processing and post-processing with opinion sentences to improve the quality of opinion sentence identification has become a hot issue in recent years. Researches on kernel information filtering and candidates screening of traditional opinion targets identification methods are insufficient. In this paper, we propose a novel opinion targets identification method which integrates kernel sentences extraction with candidates selection based on rules analysis and SVM screening. Experimental results on COAE2014 dataset show that this approach notably outperforms other baselines of opinion targets identification.
Fichier principal
Vignette du fichier
433802_1_En_16_Chapter.pdf (370.18 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01615005 , version 1 (11-10-2017)

Licence

Paternité

Identifiants

Citer

Hengxun Li, Chun Liao, Ning Wang, Guangjun Hu. Opinion Targets Identification Based on Kernel Sentences Extraction and Candidates Selection. 9th International Conference on Intelligent Information Processing (IIP), Nov 2016, Melbourne, VIC, Australia. pp.152-159, ⟨10.1007/978-3-319-48390-0_16⟩. ⟨hal-01615005⟩
66 Consultations
96 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More