quanteda 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 Standard Articles 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 2018 Cited by 2 Authors 1 Daneshgar, Neda 1 Sarmad, Majid Cited in 1 Serial 1 Computational Statistics Cited in 2 Fields 1 Statistics (62-XX) 1 Computer science (68-XX) Citations by Year