Feature Extraction and Document Classification with Noisy Labels
Overview
Extract features and classify documents with noisy labels given by document-meta data or keyword matching Watanabe & Zhou (2020) doi:10.1177/0894439320907027.
- Fix tests for **quanteda** v4.3.1.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 15 (6 internal)
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 29%
- Documented parameters
- 100%
- Return-value docs
- 86%
- Help pages citing references
- 27%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Commit identities over time
6 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/koheiw/wordmap on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Show all practicesHide 1 practice
Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2024-06-18
- Total releases
- 6 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 546 KB / 2 files
- Download size
- 634 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("wordmap")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1177/0894439320907027.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.