Predictive Modeling: Guessing the NLP Terms of Tomorrow

نویسندگان

  • Gil Francopoulo
  • Joseph-Jean Mariani
  • Patrick Paroubek
چکیده

Predictive modeling, often called “predictive analytics” in a commercial context, encompasses a variety of statistical techniques that analyze historical and present facts to make predictions about unknown events. Often the unknown events are in the future, but prediction can be applied to any type of unknown whether it be in the past or future. In our case, we present some experiments applying predictive modeling to the usage of technical terms within the NLP domain.

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تاریخ انتشار 2016