RTextTools: Automatic Text Classification via Supervised Learning

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.

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
http://www.rtexttools.com/

View on CRAN

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

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

Files

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

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