Ensemble Algorithm with Syntactical Tree Features to Improve the Opinion Analysis

نویسندگان

  • Rafael del-Hoyo-Alonso
  • María de la Vega Rodrigalvarez-Chamorro
  • Jorge Vea-Murguía
  • Rosa María Montañes-Salas
چکیده

This article describes how the assemble of several opinion analysis techniques can improve the accuracy or in other NLP problems where the available size of the training corpus is small compared to the space of hypotheses and therefore should be explored a range of strategies. One of the strategies is based in a new way to include morpho-syntactic features to find relationships that traditional methods are not able to perform.

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تاریخ انتشار 2015