vectorizer-class

This class contains a vectorization model for textual documents.

Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

Alexandre Blansché

vectorizer-class function

<dl>
<dt><code>vectorizer</code></dt>
<dd>The vectorizer.</dd></dl>
<dt><code>transform</code></dt>
<dd>The transformation to be applied after vectorization (normalization, TF-IDF).</dd>
<dt><code>phrases</code></dt>
<dd>The phrase detection method.</dd>
<dt><code>tfidf</code></dt>
<dd>The TF-IDF transformation.</dd>
<dt><code>lsa</code></dt>
<dd>The LSA transformation.</dd>
<dt><code>tokens</code></dt>
<dd>The token from the original document.</dd>

Slots

Document vectorization object — vectorizer-class

<dl>
<dt><code>vectorizer</code></dt>
<dd>The vectorizer.</dd>


<dt><code>transform</code></dt>
<dd>The transformation to be applied after vectorization (normalization, TF-IDF).</dd>


<dt><code>phrases</code></dt>
<dd>The phrase detection method.</dd>


<dt><code>tfidf</code></dt>
<dd>The TF-IDF transformation.</dd>


<dt><code>lsa</code></dt>
<dd>The LSA transformation.</dd>


<dt><code>tokens</code></dt>
<dd>The token from the original document.</dd>


</dl>

vectorizer-class: Document vectorization object

Description

Arguments

Slots

See Also