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
| Version | Repository | File | Size |
|---|---|---|---|
4.4 |
2026-04-09 windows/windows R-4.5 | quanteda_4.4.zip |
2.5 MiB |