USCongress: a sample dataset containing labeled bills from the United...

In RTextTools: Automatic Text Classification via Supervised Learning

Description

A sample dataset containing labeled bills from the United States Congress, compiled by Professor John D. Wilkerson at the University of Washington, Seattle and E. Scott Adler at the University of Colorado, Boulder.

Usage

data(USCongress)

Format

A data.frame containing five columns.

1. ID - A unique identifier for the bill.

2. cong - The session of congress that the bill first appeared in.

3. billnum - The number of the bill as it appears in the congressional docket.

4. h_or_sen - A field specifying whether the bill was introduced in the House (HR) or the Senate (S).

5. major - A manually labeled topic code corresponding to the subject of the bill.

Source

http://www.congressionalbills.org/

Examples

data(USCongress)

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.