R: Feature Extraction and Document Classification with Noisy Labels

# Feature Extraction and Document Classification with Noisy Labels

## Documentation for package ‘wordmap’ version 0.9.5

- DESCRIPTION file
- Package NEWS

## Help Pages

accuracy | Evaluate classification accuracy in precision and recall
afe | Compute Average Feature Entropy (AFE)
as.dictionary.textmodel_wordmap | Create lexicon from a Wordmap model
as.list.textmodel_wordmap | Create lexicon from a Wordmap model
coef.textmodel_wordmap | Extract coefficients from a Wordmap model
coefficients.textmodel_wordmap | Extract coefficients from a Wordmap model
data_corpus_ungd2017 | UN General Debate speeches from 2017
data_dictionary_topic | Seed topic dictionary
predict.textmodel_wordmap | Predict the most likely class of documents
summary.textmodel_wordmap_accuracy | Evaluate classification accuracy in precision and recall
textmodel_wordmap | A model for multinomial feature extraction and document classification
textplot_terms | Plot coefficients of words