data_corpus_irishbudget2010

<p>Speeches and document-level variables from the debate over the Irish budget
of 2010.</p>

data

Scaling models and classifiers for sparse matrix objects representing
textual data in the form of a document-feature matrix.  Includes original
implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>,
'Wordscores' model, the Perry and 'Benoit' (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model,
and the 'Slapin' and 'Proksch' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish'
model, as well as methods for correspondence analysis, latent semantic analysis,
and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.

Kenneth Benoit

quanteda.textmodels

Scaling Models and Classifiers for Textual Data

Kohei Watanabe

Haiyan Wang

Patrick O. Perry

Benjamin Lauderdale

Johannes Gruber

William Lowe

Vikas Sindhwani

European Research Council 

data_corpus_irishbudget2010 function

<p>The corpus object for the 2010 budget speeches, with document-level
variables for year, debate, serial number, first and last name of the
speaker, and the speaker's party.</p>

Format

Irish budget speeches from 2010 — data_corpus_irishbudget2010

Irish budget speeches from 2010

data_corpus_irishbudget2010: Irish budget speeches from 2010

Description

Usage

Arguments

Format

Details

References