Title: A Tidy Data Model for Natural Language Processing using cleanNLP,
Abstract: The package cleanNLP provides a set of fast tools for converting a textual
corpus into a set of normalized tables. The underlying natural language
processing pipeline utilizes Stanford's CoreNLP library, exposing a number of
annotation tasks for text written in English, French, German, and Spanish.
Annotators include tokenization, part of speech tagging, named entity
recognition, entity linking, sentiment analysis, dependency parsing,
coreference resolution, and information extraction.