Is a Voting Approach Accurate for Opinion Mining?

نویسندگان

  • Michel Plantié
  • Mathieu Roche
  • Gérard Dray
  • Pascal Poncelet
چکیده

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 linguistic 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.

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تاریخ انتشار 2008