Automatic Text Classification via Supervised Learning

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Documentation for package ‘RTextTools’ version 1.3.2

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RTextTools-package RTextTools Machine Learning
analytics_container-class an S4 class containing the analytics for a classified set of documents.
analytics_container_virgin-class an S4 class containing the analytics for a classified set of documents.
classify_model makes predictions from a train_model() object.
classify_models makes predictions from a train_models() object.
create_analytics creates an object of class analytics given classification results.
create_corpus creates a corpus for training, classifying, and analyzing documents.
create_ensembleSummary creates a summary with ensemble coverage and precision.
create_matrix creates a document-term matrix to be passed into create_corpus().
create_precisionRecallSummary creates a summary with precision, recall, and F1 scores.
create_scoreSummary creates a summary with the best label for each document.
cross_validate used for cross-validation of various algorithms.
matrix_container-class an S4 class containing the training and classification matrices.
NYTimes a sample dataset containing labeled headlines from The New York Times.
print_algorithms prints available algorithms for train_model() and train_models().
read_data reads data from files into an R data frame.
recall_accuracy calculates the recall accuracy of the classified data.
train_model makes a model object using the specified algorithm.
train_models makes a model object using the specified algorithms.
USCongress a sample dataset containing labeled bills from the United State Congress.
wizard_read_data a simplified function for reading data from files.
wizard_train_classify a simplified function for training and classifying data.