TextImager as a Generic Interface to R

Autor: Tolga Uslu, Daniel Baumartz, Alexander Mehler, Wahed Hemati
Rok vydání: 2017
Předmět:
Zdroj: EACL (Software Demonstrations)
DOI: 10.18653/v1/e17-3005
Popis: R is a very powerful framework for statistical modeling. Thus, it is of high importance to integrate R with state-of-the-art 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 NLP- components.
Databáze: OpenAIRE