Is a Voting Approach Accurate for Opinion Mining?

Michel Plantié (1) , Mathieu Roche (2) , Gérard Dray (1) , Pascal Poncelet (3)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production
2 TEXTE - Exploration et exploitation de données textuelles
3 TATOO - Fouille de données environnementales

In this paper, we focus on classifying documents according to opinion and value judgment they contain. The main originality of our approach is to combine lin- guistic pre-processing, classification and a voting system using several classification methods. In this context, the relevant representation of the documents allows to determine the features for storing textual data in data warehouses. The conducted experiments on very large corpora from a French challenge on text mining (DEFT) show the efficiency of our approach.

Domaines: Traitement du texte et du document

Michel Plantié, Mathieu Roche, Gérard Dray, Pascal Poncelet. Is a Voting Approach Accurate for Opinion Mining?. DaWaK 2008 - 10th International Conference on Data Warehousing and Knowledge Discovery, Sep 2008, Torino, Italy. pp.413-422, ⟨10.1007/978-3-540-85836-2_39⟩. ⟨hal-00353944⟩