quanteda: Quantitative Analysis of Textual Data
Version 1.0.0

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.

Package details

AuthorKenneth Benoit [aut, cre, cph], Kohei Watanabe [ctb], Paul Nulty [ctb], Adam Obeng [ctb], Haiyan Wang [ctb], Stefan Müller [ctb], Benjamin Lauderdale [ctb], Will Lowe [ctb]
Date of publication2018-01-28 18:08:07 UTC
MaintainerKenneth Benoit <[email protected]>
URL http://quanteda.io
Package repositoryView on CRAN
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quanteda documentation built on Jan. 29, 2018, 1:03 a.m.