RTextTools: Automatic Text Classification via Supervised Learning
Version 1.4.2

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.

Browse man pages Browse package API and functions Browse package files

AuthorTimothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt
Date of publication2014-01-19 09:07:18
MaintainerTimothy P. Jurka <tpjurka@ucdavis.edu>
LicenseGPL-3
Version1.4.2
URL http://www.rtexttools.com/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RTextTools")

Man pages

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

Functions

NYTimes Man page
USCongress Man page
analytics-class Man page
analytics_virgin-class Man page
classify_model Man page Source code
classify_models Man page Source code
create_analytics Man page Source code
create_container Man page Source code
create_ensembleSummary Man page Source code
create_matrix Man page Source code
create_precisionRecallSummary Man page Source code
create_scoreSummary Man page Source code
cross_validate Man page Source code
getStemLanguages Man page
getTestedLanguages Source code
matrix_container-class Man page
onLoad Source code
print_algorithms Man page Source code
read_data Man page Source code
recall_accuracy Man page Source code
summary.analytics Man page Source code
summary.analytics_virgin Man page Source code
train_model Man page Source code
train_models Man page Source code
wordStem Man page

Files

inst
inst/examples
inst/examples/normal_demo.R
inst/examples/saved_model_demo.R
inst/examples/conference_demo.R
inst/examples/installation_demo.R
inst/THANKS
src
src/header.h
src/Makevars
src/dutch_stem.c
src/norwegian_stem.h
src/spanish_stem.h
src/mytest.c
src/stem.h
src/norwegian_stem.c
src/spanish_stem.c
src/danish_stem.c
src/french_stem.h
src/french_stem.c
src/dutch_stem.h
src/german_stem.c
src/english_stem.h
src/portuguese_stem.h
src/utilities.c
src/finnish_stem.h
src/russian_stem.h
src/Languages.h
src/russian_stem.c
src/swedish_stem.c
src/portuguese_stem.c
src/italian_stem.h
src/italian_stem.c
src/danish_stem.h
src/finnish_stem.c
src/german_stem.h
src/api.c
src/api.h
src/english_stem.c
src/swedish_stem.h
NAMESPACE
demo
demo/CrossValidation.R
demo/RTextTools.R
demo/00Index
CHANGELOG
data
data/datalist
data/USCongress.csv.gz
data/NYTimes.csv.gz
R
R/create_ensembleSummary.R
R/classify_model.R
R/create_container.R
R/classify_models.R
R/summary.analytics.R
R/train_model.R
R/create_precisionRecallSummary.R
R/summary.analytics_virgin.R
R/recall_accuracy.R
R/train_models.R
R/create_analytics.R
R/read_data.R
R/create_matrix.R
R/stem.S
R/langs.R
R/print_algorithms.R
R/create_scoreSummary.R
R/cross_validate.R
R/zzz.R
MD5
DESCRIPTION
man
man/analytics-class.Rd
man/read_data.Rd
man/getStemLanguages.Rd
man/train_models.Rd
man/analytics_virgin-class.Rd
man/summary.analytics_virgin.Rd
man/create_precisionRecallSummary.Rd
man/create_scoreSummary.Rd
man/classify_model.Rd
man/train_model.Rd
man/cross_validate.Rd
man/matrix_container-class.Rd
man/create_matrix.Rd
man/USCongress.Rd
man/create_analytics.Rd
man/create_container.Rd
man/print_algorithms.Rd
man/wordStem.Rd
man/NYTimes.Rd
man/summary.analytics.Rd
man/create_ensembleSummary.Rd
man/recall_accuracy.Rd
man/classify_models.Rd
RTextTools documentation built on May 29, 2017, 12:05 p.m.