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 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.
- Version4.1.0
- R version≥ 3.5.0 methods
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-GB
- quanteda citation info
- Last release09/04/2024
Documentation
Team
Kenneth Benoit
MaintainerShow author detailsHaiyan Wang
Kohei Watanabe
Akitaka Matsuo
Olivier Delmarcelle
Show author detailsRolesContributorStefan Müller
European Research Council
Show author detailsRolesfndWilliam Lowe
Show author detailsRolesAuthorChristian Müller
Paul Nulty
Adam Obeng
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