Semi-Supervised Model for Geographical Document Classification


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Documentation for package ‘newsmap’ version 0.9.0

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accuracy Evaluate classification accuracy in precision and recall
afe Compute average feature entropy (AFE)
coef.textmodel_newsmap Extract coefficients for features
coefficients.textmodel_newsmap Extract coefficients for features
data_dictionary_newsmap_ar Seed geographical dictionary in Arabic
data_dictionary_newsmap_de Seed geographical dictionary in German
data_dictionary_newsmap_en Seed geographical dictionary in English
data_dictionary_newsmap_es Seed geographical dictionary in Spanish
data_dictionary_newsmap_fr Seed geographical dictionary in French
data_dictionary_newsmap_he Seed geographical dictionary in Hebrew
data_dictionary_newsmap_it Seed geographical dictionary in Italian
data_dictionary_newsmap_ja Seed geographical dictionary in Japanese
data_dictionary_newsmap_pt Seed geographical dictionary in Portuguese
data_dictionary_newsmap_ru Seed geographical dictionary in Russian
data_dictionary_newsmap_tr Seed geographical dictionary in Turkish
data_dictionary_newsmap_zh_cn Seed geographical dictionary in Chinese (simplified)
data_dictionary_newsmap_zh_tw Seed geographical dictionary in Chinese (traditional)
predict.textmodel_newsmap Prediction method for textmodel_newsmap
summary.textmodel_newsmap_accuracy Calculate micro and macro average measures of accuracy
textmodel_newsmap Semi-supervised Bayesian multinomial model for geographical document classification