RTextTools (version 1.3.2)

create_analytics: creates an object of class analytics given classification results.

Description

Takes the results from functions classify_model or classify_models and computes various statistics to help interpret the data.

Usage

create_analytics(corpus, classification_results, b=1, threshold=NULL)

Arguments

corpus

Class of type matrix_container-class generated by the create_corpus function.

classification_results

A cbind() of result objects returned by classify_model, or the object returned by classify_models.

b

b-value for generating precision, recall, and F-scores statistics.

threshold

The number of algorithms greater than or equal to this threshold that agree on the same topic. For example, a threshold value of 3 will search for those documents where 3 or more algorithms agreed.

Value

• Object of class analytics_container_virgin-class or analytics_container-class has either two or four slots respectively, depending on whether the virgin flag is set to TRUE or FALSE in create_corpus. They can be accessed using the @ operator for S4 classes (e.g. analytics@document_summary).

Examples

library(RTextTools)
data <- read_data(system.file("data/NYTimes.csv.gz",package="RTextTools"),type="csv")
data <- data[sample(1:3100,size=100,replace=FALSE),]
matrix <- create_matrix(cbind(data$Title,data$Subject), language="english", 
removeNumbers=TRUE, stemWords=FALSE, weighting=weightTfIdf)
corpus <- create_corpus(matrix,data$Topic.Code,trainSize=1:75, testSize=76:100, 
virgin=FALSE)
models <- train_models(corpus, algorithms=c("MAXENT","SVM"))
results <- classify_models(corpus, models)
analytics <- create_analytics(corpus, results)