NYTimes

A sample dataset containing labeled headlines from The New York Times, compiled by Professor Amber E. Boydstun at the University of California, Davis.

datasets

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 eight algorithms for ensemble classification (svm, slda,
boosting, bagging, random forests, glmnet, decision trees, neural
networks), comprehensive analytics, and thorough documentation.

Loren Collingwood

RTextTools

Automatic Text Classification via Supervised Learning

NYTimes function

A <code>data.frame</code> containing five columns.
1. <code>Article_ID</code> - A unique identifier for the headline from The New York Times.
2. <code>Date</code> - The date the headline appeared in The New York Times.
3. <code>Title</code> - The headline as it appeared in The New York Times.
4. <code>Subject</code> - A manually classified subject of the headline.
5. <code>Topic.Code</code> - A manually labeled topic code corresponding to the subject.

NYTimes: a sample dataset containing labeled headlines from The New York Times.

Description

Usage

Arguments

Format

Examples