rLDCP: R package for text generation from data

The generation of text reports from numerical and symbolic data is getting the attention of many researchers. Developing open source software while we follow the key issues (novelty, usability, interoperability, and relevance) will facilitate the adoption of this new discipline in the research community and industry. This paper presents an R package useful to develop computational systems able to generate linguistic descriptions of complex phenomena. It generates text reports from the numerical and symbolic data available to describe the phenomena under consideration. This is an implementation of our previous research work that is supported by the computational theory of perceptions grounded in the fuzzy sets theory. We present illustrative examples that show how to use this new package. The examples reveal that the package is ready to become a relevant tool in the research field of text generation from data.

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