inaugural_addresses

Data on the inaugural addresses by every United States President (from the quanteda package)

datasets

Provides an interface to perform cluster analysis on a corpus of
text. Interfaces to Quanteda to assemble text corpuses easily. Deviationalizes
text vectors prior to clustering using technique described by Sherin (Sherin,
B. [2013]. A computational study of commonsense science: An exploration in the
automated analysis of clinical interview data. Journal of the Learning Sciences,
22(4), 600-638. Chicago. <doi:10.1080/10508406.2013.836654>). Uses
cosine similarity as distance metric for two stage clustering process, involving
Ward's algorithm hierarchical agglomerative clustering, and k-means clustering.
Selects optimal number of clusters to maximize "variance explained" by clusters,
adjusted by the number of clusters. Provides plotted output of clustering
results as well as printed output. Assesses "model fit" of clustering solution
to a set of preexisting groups in dataset.

Alex Lishinski

clustRcompaR

Easy Interface for Clustering a Set of Documents and Exploring
Group- Based Patterns

inaugural_addresses function

Data frame with columns
#'<dl class="dl-horizontal">
 <dt>texts</dt><dd>text contents of the inaugural addresses</dd>
 <dt>Year</dt><dd>year of the address</dd>
 <dt>President</dt><dd>last name of the President</dd>
 <dt>FirstName</dt><dd>first name of the President</dd>
</dl>

Format

Data on the inaugural addresses by every United States President (from the quanteda package) — inaugural_addresses

Data frame with columns
#'<dl class='dl-horizontal'>
 <dt>texts</dt><dd>text contents of the inaugural addresses</dd>
 <dt>Year</dt><dd>year of the address</dd>
 <dt>President</dt><dd>last name of the President</dd>
 <dt>FirstName</dt><dd>first name of the President</dd>
</dl>

inaugural_addresses: Data on the inaugural addresses by every United States President (from the quanteda package)

Description

Usage

Arguments

Format