RTextTools is a machine learning package for automatic text classification that makes it simple for novice users to get started with machine learning, while allowing experienced users to easily experiment with different settings and algorithm combinations. The package includes nine algorithms for ensemble classification (svm, slda, boosting, bagging, random forests, glmnet, decision trees, neural networks, maximum entropy), comprehensive analytics, and thorough documentation.
|Author||Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt|
|Date of publication||2014-01-19 09:07:18|
|Maintainer||Timothy P. Jurka <email@example.com>|
analytics-class: an S4 class containing the analytics for a classified set of...
analytics_virgin-class: an S4 class containing the analytics for a classified set of...
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...
create_container: creates a container for training, classifying, and analyzing...
create_ensembleSummary: creates a summary with ensemble coverage and precision.
create_matrix: creates a document-term matrix to be passed into...
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...
NYTimes: a sample dataset containing labeled headlines from The New...
print_algorithms: prints available algorithms for train_model() and...
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...
wordStem: Get the common root/stem of words