DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining

Mauro Dragoni 1, * Andrea G. B. Tettamanzi 2, 3 Célia Da Costa Pereira 3, 4
* Corresponding author
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
4 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Projet MinD
Laboratoire I3S - 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.
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Mauro Dragoni, Andrea G. B. Tettamanzi, Célia Da Costa Pereira. DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining. Tenth International Conference on Language Resources and Evaluation (LREC 2016), European Language Resources Association (ELRA), May 2016, Portorož, Slovenia. pp.267-272. ⟨hal-01322949⟩

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