Learn R Programming

wordmap (version 0.9.5)

Feature Extraction and Document Classification with Noisy Labels

Description

Extract features and classify documents with noisy labels given by document-meta data or keyword matching Watanabe & Zhou (2020) .

Copy Link

Version

Install

install.packages('wordmap')

Monthly Downloads

148

Version

0.9.5

License

MIT + file LICENSE

Issues

3

Pull Requests

1

Stars

4

Forks

1

Maintainer

Kohei Watanabe

Last Published

July 10th, 2025

Functions in wordmap (0.9.5)

print.coefficients_textmodel

Print methods for textmodel features estimates This is a helper function used in print.summary.textmodel.
print.statistics_textmodel

Implements print methods for textmodel_statistics
coef.textmodel_wordmap

Extract coefficients from a Wordmap model
as.dictionary.textmodel_wordmap

Create lexicon from a Wordmap model
accuracy

Evaluate classification accuracy in precision and recall
predict.textmodel_wordmap

Predict the most likely class of documents
afe

Compute Average Feature Entropy (AFE)
as.statistics_textmodel

Coerce various objects to statistics_textmodel
textplot_terms

Plot coefficients of words
data_corpus_ungd2017

UN General Debate speeches from 2017
data_dictionary_topic

Seed topic dictionary
as.summary.textmodel

Assign the summary.textmodel class to a list
as.coefficients_textmodel

Coerce various objects to coefficients_textmodel This is a helper function used in summary.textmodel_*.
textmodel_wordmap

A model for multinomial feature extraction and document classification
print.summary.textmodel

print method for summary.textmodel