R: Semi-Supervised Model for Geographical Document Classification

# Semi-Supervised Model for Geographical Document Classification

## Documentation for package ‘newsmap’ version 0.9.2

- DESCRIPTION file
- Package NEWS

## Help Pages

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