DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining

Mauro Dragoni 1, * Andrea G. B. Tettamanzi 2, 3 Célia Da Costa Pereira 3, 4
* Auteur correspondant
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
4 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Projet MinD
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Opinion Mining is a topic which attracted a lot of interest in the last years. By observing the literature, it is often hard to replicate system evaluation due to the unavailability of the data used for the evaluation or to the lack of details about the protocol used in the campaign. In this paper, we propose an evaluation protocol, called DRANZIERA, composed of a multi-domain dataset and guidelines allowing both to evaluate opinion mining systems in different contexts (Closed, Semi-Open, and Open) and to compare them to each other and to a number of baselines.
Type de document :
Communication dans un congrès
Nicoletta Calzolari; Khalid Choukri; Thierry Declerck; Marko Grobelnik; Bente Maegaard; Joseph Mariani; Asuncion Moreno; Jan Odijk; Stelios Piperidis. Tenth International Conference on Language Resources and Evaluation (LREC 2016), May 2016, Portorož, Slovenia. European Language Resources Association (ELRA), pp.267-272, 2016, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). <http://www.lrec-conf.org>
Liste complète des métadonnées


https://hal.archives-ouvertes.fr/hal-01322949
Contributeur : Andrea G. B. Tettamanzi <>
Soumis le : dimanche 29 mai 2016 - 12:29:59
Dernière modification le : mardi 31 mai 2016 - 01:05:01
Document(s) archivé(s) le : mardi 30 août 2016 - 10:23:27

Fichier

111_Paper.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : hal-01322949, version 1

Collections

Citation

Mauro Dragoni, Andrea G. B. Tettamanzi, Célia Da Costa Pereira. DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining. Nicoletta Calzolari; Khalid Choukri; Thierry Declerck; Marko Grobelnik; Bente Maegaard; Joseph Mariani; Asuncion Moreno; Jan Odijk; Stelios Piperidis. Tenth International Conference on Language Resources and Evaluation (LREC 2016), May 2016, Portorož, Slovenia. European Language Resources Association (ELRA), pp.267-272, 2016, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). <http://www.lrec-conf.org>. <hal-01322949>

Partager

Métriques

Consultations de
la notice

171

Téléchargements du document

44