Man pages for wordmap
Feature Extraction and Document Classification with Noisy Labels
| accuracy | Evaluate classification accuracy in precision and recall |
| afe | Compute Average Feature Entropy (AFE) |
| as.coefficients_textmodel | Coerce various objects to coefficients_textmodel This is a... |
| as.dictionary.textmodel_wordmap | Create lexicon from a Wordmap model |
| as.statistics_textmodel | Coerce various objects to statistics_textmodel |
| as.summary.textmodel | Assign the summary.textmodel class to a list |
| coef.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 |
| print.coefficients_textmodel | Print methods for textmodel features estimates This is a... |
| print.statistics_textmodel | Implements print methods for textmodel_statistics |
| print.summary.textmodel | print method for summary.textmodel |
| textmodel_wordmap | A model for multinomial feature extraction and document... |
| textplot_terms | Plot coefficients of words |
