TextImager as a Generic Interface to R

نویسندگان

  • Tolga Uslu
  • Wahed Hemati
  • Alexander Mehler
  • Daniel Baumartz
چکیده

R is a very powerful framework for statistical modeling. Thus, it is of high importance to integrate R with state-of-theart tools in NLP. In this paper, we present the functionality and architecture of such an integration by means of TextImager. We use the OpenCPU API to integrate R based on our own R-Server. This allows for communicating with R-packages and combining them with TextImager’s NLPcomponents.

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تاریخ انتشار 2017