swMATH ID: 30853
Software Authors: Benoit K, Watanabe K, Wang H, Nulty P, Obeng A, Müller S, Matsuo A
Description: R package quanteda: Quantitative Analysis of Textual Data. A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Homepage: https://cran.r-project.org/web/packages/quanteda/index.html
Source Code:  https://github.com/cran/quanteda
Dependencies: R
Keywords: R; R package; quantitative analysis; textual data; Journal of Open Source Software; natural language processing; NLP; Corpus management
Related Software: R; stm; ggplot2; topicmodels; lda; data.table; tidytext; RcppParallel; Rcpp; stringi; tm; LDAvis; text2vec; stminsights; tosca; spaCy; readtext; igraph; RcppRoll; ISOweek
Cited in: 1 Document

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1 Publication describing the Software Year
quanteda: An R package for the quantitative analysis of textual data Link
Benoit K, Watanabe K, Wang H, Nulty P, Obeng A, Müller S, Matsuo A

Cited in 1 Serial

1 Computational Statistics

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