wordStem
(Package: RTextTools) :
Get the common root/stem of words
This function computes the stems of each of the given words in the vector. This reduces a word to its base component, making it easier to compare words like win, winning, winner. See http://snowball.tartarus.org/ for more information about the concept and algorithms for stemming.
● Data Source:
CranContrib
● Keywords: IO, utilities
● Alias: wordStem
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Returns a summary of the contents within an object of class analytics-class.
● Data Source:
CranContrib
● Keywords: method
● Alias: summary.analytics
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Creates a summary with ensemble coverage and precision values for an ensemble greater than the threshold specified.
● Data Source:
CranContrib
● Keywords: method
● Alias: create_ensembleSummary
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Given the true labels to compare to the labels predicted by the algorithms, calculates the recall accuracy of each algorithm.
● Data Source:
CranContrib
● Keywords: method
● Alias: recall_accuracy
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Uses a trained model from the train_models function to classify new data.
● Data Source:
CranContrib
● Keywords: method
● Alias: classify_models
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An S4 class containing the analytics for a classified set of documents. This includes a label summary, document summary, ensemble summary, and algorithm summary. This class is returned if virgin=FALSE in create_container.
● Data Source:
CranContrib
● Keywords: classes
● Alias: analytics-class
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Reads data from several types of data storage types into an R data frame.
● Data Source:
CranContrib
● Keywords: method
● Alias: read_data
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getStemLanguages
(Package: RTextTools) :
Query the languages supported in this package
This dynamically determines the names of the languages for which stemming is supported by this package. This is controlled when the package is created (not installed) by downloading the stemming algorithms for the different languages.
● Data Source:
CranContrib
● Keywords: IO, utilities
● Alias: getStemLanguages
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Creates a trained model using the specified algorithms.
● Data Source:
CranContrib
● Keywords: method
● Alias: train_models
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An S4 class containing the analytics for a classified set of documents. This includes a label summary and a document summary. This class is returned if virgin=TRUE in create_container.
● Data Source:
CranContrib
● Keywords: classes
● Alias: analytics_virgin-class
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providing 
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