Package: quanteda
Version: 3.2.4
Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for 
    quantitative text analysis in R.  Provides functionality for corpus management,
    creating and manipulating tokens and n-grams, 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. 
Authors@R: c( 
    person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0002-0797-564X")), 
    person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-6519-5265")), 
    person("Haiyan", "Wang", email = "whyinsa@yahoo.com", role = "aut", comment = c(ORCID = "0000-0003-4992-4311")),
    person("Paul", "Nulty", email = "paul.nulty@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-7214-4666")), 
    person("Adam", "Obeng", email = "quanteda@binaryeagle.com", role = "aut", comment = c(ORCID = "0000-0002-2906-4775")),
    person("Stefan", "Müller", email = "mullers@tcd.ie", role = "aut", comment = c(ORCID = "0000-0002-6315-4125")),
    person("Akitaka", "Matsuo", email = "a.matsuo@lse.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-3323-6330")),
    person("William", "Lowe", email = "wlowe@princeton.edu", role = "aut", comment = c(ORCID = "0000-0002-1549-6163")),
    person("Christian", "Müller", email = "C.Mueller@lse.ac.uk", role = "ctb"),
    person("European Research Council", role = "fnd", comment = "ERC-2011-StG 283794-QUANTESS")
    )
License: GPL-3
Depends:
    R (>= 3.5.0),
    methods
Imports:
    fastmatch,
    magrittr,
    Matrix (>= 1.5-0),
    Rcpp (>= 0.12.12),
    RcppParallel,
    SnowballC,
    stopwords,
    stringi,
    xml2,
    yaml
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (>= 0.7.600.1.0)
Suggests:
    rmarkdown,
    spelling,
    testthat,
    formatR,
    tm (>= 0.6),
    tokenizers,
    knitr,
    lda,
    lsa,
    dplyr,
    purrr,
    quanteda.textmodels,
    quanteda.textstats,
    quanteda.textplots,
    RColorBrewer,
    slam,
    spacyr,
    stm,
    text2vec,
    topicmodels,
    jsonlite,
    quanteda,
    tibble,
    tidytext,
    xtable,
    ggplot2
URL: https://quanteda.io
Encoding: UTF-8
BugReports: https://github.com/quanteda/quanteda/issues
LazyData: TRUE
VignetteBuilder: knitr
Language: en-GB
RoxygenNote: 7.2.2
SystemRequirements: C++11
Roxygen: list(markdown = TRUE)
Collate: 
    'RcppExports.R'
    'meta.R'
    'quanteda-documentation.R'
    'aaa.R'
    'bootstrap_dfm.R'
    'casechange-functions.R'
    'char_select.R'
    'convert.R'
    'corpus-addsummary-metadata.R'
    'corpus-methods.R'
    'corpus.R'
    'corpus_group.R'
    'corpus_reshape.R'
    'corpus_sample.R'
    'corpus_segment.R'
    'corpus_subset.R'
    'corpus_trim.R'
    'data-documentation.R'
    'dfm-classes.R'
    'dfm-methods.R'
    'dfm-print.R'
    'dfm-subsetting.R'
    'dfm.R'
    'dfm_compress.R'
    'dfm_group.R'
    'dfm_lookup.R'
    'dfm_match.R'
    'dfm_replace.R'
    'dfm_sample.R'
    'dfm_select.R'
    'dfm_sort.R'
    'dfm_subset.R'
    'dfm_trim.R'
    'dfm_weight.R'
    'dictionaries.R'
    'dimnames.R'
    'fcm-classes.R'
    'docnames.R'
    'docvars.R'
    'fcm-methods.R'
    'fcm-print.R'
    'fcm-subsetting.R'
    'fcm.R'
    'fcm_select.R'
    'index.R'
    'kwic.R'
    'message.R'
    'nfunctions.R'
    'object-builder.R'
    'object2fixed.R'
    'pattern2fixed.R'
    'phrases.R'
    'quanteda_options.R'
    'readtext-methods.R'
    'spacyr-methods.R'
    'stopwords.R'
    'summary.R'
    'textmodel.R'
    'textplot.R'
    'texts.R'
    'textstat.R'
    'tokenizers.R'
    'tokens-methods.R'
    'tokens.R'
    'tokens_chunk.R'
    'tokens_compound.R'
    'tokens_group.R'
    'tokens_lookup.R'
    'tokens_ngrams.R'
    'tokens_replace.R'
    'tokens_sample.R'
    'tokens_segment.R'
    'tokens_select.R'
    'tokens_split.R'
    'tokens_subset.R'
    'utils.R'
    'validator.R'
    'wordstem.R'
    'zzz.R'
