Automatic Text Classification via Supervised Learning

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Documentation for package ‘RTextTools’ version 1.4.3

• DESCRIPTION file.
• Code demos. Use demo() to run them.

Help Pages

analytics-class	an S4 class containing the analytics for a classified set of documents.
analytics_virgin-class	an S4 class containing the analytics for a classified set of documents.
as.compressed.matrix	converts a tm DocumentTermMatrix or TermDocumentMatrix into a matrix.csr representation.
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_container	creates a container 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_container().
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.
getStemLanguages	Query the languages supported in this package
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.
summary.analytics	summarizes the 'analytics-class' class
summary.analytics_virgin	summarizes the 'analytics_virgin-class' class
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.
wordStem	Get the common root/stem of words