Package: wordmap 0.9.0

wordmap: Feature Extraction and Document Classification with Noisy Labels

Extract features and classify documents with noisy labels given by document-meta data or keyword matching Watanabe & Zhou (2020) <doi:10.1177/0894439320907027>.

Authors:Kohei Watanabe [aut, cre, cph]

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NEWS

# Install 'wordmap' in R:
install.packages('wordmap', repos = c('https://koheiw.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/koheiw/wordmap/issues

Datasets:

On CRAN:

7 exports 2 stars 2.13 score 39 dependencies 1 scripts 742 downloads

Last updated 2 months agofrom:a5db2dd4d6. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winNOTESep 12 2024
R-4.5-linuxNOTESep 12 2024
R-4.4-winNOTESep 12 2024
R-4.4-macNOTESep 12 2024
R-4.3-winNOTESep 12 2024
R-4.3-macNOTESep 12 2024

Exports:accuracyafeas.coefficients_textmodelas.statistics_textmodelas.summary.textmodeltextmodel_wordmaptextplot_terms

Dependencies:clicolorspacefansifarverfastmatchggplot2ggrepelgluegtableisobandISOcodesjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigquantedaR6RColorBrewerRcpprlangscalesSnowballCstopwordsstringitibbleutf8vctrsviridisLitewithrxml2yaml

Readme and manuals

Help Manual

Help pageTopics
Evaluate classification accuracy in precision and recallaccuracy summary.textmodel_wordmap_accuracy
Compute Average Feature Entropy (AFE)afe
Create lexicon from a Wordmap modelas.dictionary.textmodel_wordmap as.list.textmodel_wordmap
Extract coefficients from a Wordmap modelcoef.textmodel_wordmap coefficients.textmodel_wordmap
UN General Debate speeches from 2017data_corpus_ungd2017
Seed topic dictionarydata_dictionary_topic
Predict the most likely class of documentspredict.textmodel_wordmap
A model for multinomial feature extraction and document classificationtextmodel_wordmap
Plot coefficients of wordstextplot_terms