readWhatsApp

Reads HTML-files from WhatsApp and separates the text and meta data.

manip

A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided. Sample data for the vignette is included in the toscaData package, which is available on gitHub: <https://github.com/Docma-TU/toscaData>.

Lars Koppers

tosca

Tools for Statistical Content Analysis

Jonas Rieger

Karin Boczek

Gerret von Nordheim

readWhatsApp function

<dl><dt>path</dt>
<dd>Character: string with path where the data files are.
If only <code>path</code> is given, <code>file</code> will be determined by searching
for html files with <code><a href="/link/list.files?package=tosca&version=0.3-4" data-mini-rdoc="tosca::list.files">list.files</a></code> and recursion.</dd>
<dt>file</dt>
<dd>Character: string with names of the HTML files.</dd></dl>

Arguments

Jonas Rieger (&lt;jonas.rieger@tu-dortmund.de&gt;)

Author

Read WhatsApp files — readWhatsApp

<dl>

<dt>path</dt>
<dd>Character: string with path where the data files are.
If only <code>path</code> is given, <code>file</code> will be determined by searching
for html files with <code><a href='https://rdrr.io/r/base/list.files.html'>list.files</a></code> and recursion.</dd>


<dt>file</dt>
<dd>Character: string with names of the HTML files.</dd>

</dl>

readWhatsApp: Read WhatsApp files

Description

Usage

Value

Arguments

Author