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

In RTextTools: Automatic Text Classification via Supervised Learning

Description

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

Usage

create_analytics(container, classification_results, b=1)

Arguments

container	Class of type matrix_container-class generated by the create_container 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.

Value

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

Author(s)

Timothy P. Jurka <[e-mail]>, Loren Collingwood <[e-mail]>

Examples

library(RTextTools)
data(NYTimes)
data <- NYTimes[sample(1:3100,size=100,replace=FALSE),]
matrix <- create_matrix(cbind(data["Title"],data["Subject"]), language="english", 
removeNumbers=TRUE, stemWords=FALSE, weighting=tm::weightTfIdf)
container <- create_container(matrix,data$Topic.Code,trainSize=1:75, testSize=76:100, 
virgin=FALSE)
models <- train_models(container, algorithms=c("RF","SVM"))
results <- classify_models(container, models)
analytics <- create_analytics(container, results)

Example output

Loading required package: SparseM

Attaching package: 'SparseM'

The following object is masked from 'package:base':

    backsolve

RTextTools documentation built on April 26, 2020, 9:05 a.m.