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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.
Getting started
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Package details |
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| Author | Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Paul Nulty [aut] (<https://orcid.org/0000-0002-7214-4666>), Adam Obeng [aut] (<https://orcid.org/0000-0002-2906-4775>), Stefan Müller [aut] (<https://orcid.org/0000-0002-6315-4125>), Akitaka Matsuo [aut] (<https://orcid.org/0000-0002-3323-6330>), William Lowe [aut] (<https://orcid.org/0000-0002-1549-6163>), Christian Müller [ctb], Olivier Delmarcelle [ctb] (<https://orcid.org/0000-0003-4347-070X>), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS) |
| Maintainer | Kenneth Benoit <kbenoit@lse.ac.uk> |
| License | GPL-3 |
| Version | 4.1.0 |
| URL | https://quanteda.io |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the quanteda package in your browser
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