Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
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Tag: nlp
tidytext – text mining using dplyr, ggplot2, and other tidy tools
tidytext is text mining for word processing and sentiment analysis using ‘dplyr’, ‘ggplot2’, and other tidy tools.
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quanteda – R package for Quantitative Analysis of Textual Data
quanteda (Quantitative Analysis of Textual Data) is an R package for managing and analyzing text.
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wordcloud – create attractive word clouds, visualize differences and similarity between documents
wordcloud creates attractive word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots.
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tm – Text Mining Infrastructure in R
tm (shorthand for Text Mining Infrastructure in R) provides a framework for text mining applications within R.
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stringi – fast and portable character string processing in R
stringi is an R package for fast, portable, correct, consistent, and convenient string/text processing in any locale or character encoding.
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stringr – string manipulation in R
The stringr package provides a cohesive set of functions designed to make working with strings as easy as possible.
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UDPipe – R package for Tokenization, Tagging, Lemmatization and Dependency Parsing
UDPipe provides language-agnostic tokenization, tagging, lemmatization and dependency parsing of raw text.
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Word Vectors – R package for building and exploring word embedding models
Word Vectors is an R package for building and exploring word2vec and other word embedding models.
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spacyr – R wrapper around the Python spaCy package
spacyr provides a convenient R wrapper around the Python spaCy package.
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