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
Haiyan Wang
Show author detailsRolesAuthorKohei Watanabe
Show author detailsRolesAuthorAkitaka Matsuo
Show author detailsRolesAuthorOlivier Delmarcelle
Show author detailsRolesContributorStefan Müller
Show author detailsRolesAuthorEuropean Research Council
Show author detailsRolesfndWilliam Lowe
Show author detailsRolesAuthorChristian Müller
Paul Nulty
Adam Obeng
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Binaries
Dependencies
- Imports11 packages
- Enhances10 packages
- Suggests9 packages
- Linking To1 package
- Reverse Depends2 packages
- Reverse Imports33 packages
- Reverse Suggests10 packages