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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.

Versions across snapshots

VersionRepositoryFileSize
4.4 rolling linux/jammy R-4.5 quanteda_4.4.tar.gz 2.1 MiB
4.4 rolling linux/noble R-4.5 quanteda_4.4.tar.gz 2.1 MiB
4.4 rolling source/ R- quanteda_4.4.tar.gz 4.4 MiB
4.4 latest linux/jammy R-4.5 quanteda_4.4.tar.gz 2.1 MiB
4.4 latest linux/noble R-4.5 quanteda_4.4.tar.gz 2.1 MiB
4.4 latest source/ R- quanteda_4.4.tar.gz 4.4 MiB
4.4 2026-04-26 source/ R- quanteda_4.4.tar.gz 4.4 MiB
4.4 2026-04-23 source/ R- quanteda_4.4.tar.gz 4.4 MiB
4.4 2026-04-09 windows/windows R-4.5 quanteda_4.4.zip 2.5 MiB
4.2.0 2025-04-20 source/ R- quanteda_4.2.0.tar.gz 4.1 MiB

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