lmEstimation

An object of type <code><a rd-options="tm" href="/link/DocumentTermMatrix?package=SentimentAnalysis&version=1.3-4&to=tm" data-mini-rdoc="tm::DocumentTermMatrix">DocumentTermMatrix</a></code>.

Response variable including the given gold standard.

response

(optional) A list of parameters (not used).

control

Function estimates coefficients based on ordinary least squares.

Performs a sentiment analysis of textual contents in R. This implementation
utilizes various existing dictionaries, such as Harvard IV, or finance-specific
dictionaries. Furthermore, it can also create customized dictionaries. The latter
uses LASSO regularization as a statistical approach to select relevant terms based on
an exogenous response variable.

Nicolas Proellochs

SentimentAnalysis

Dictionary-Based Sentiment Analysis

Stefan Feuerriegel

lmEstimation function

<dl><dt>x</dt>
<dd>An object of type <code><a href="/link/DocumentTermMatrix?package=SentimentAnalysis&version=1.3-4" data-mini-rdoc="SentimentAnalysis::DocumentTermMatrix">DocumentTermMatrix</a></code>.</dd>
<dt>response</dt>
<dd>Response variable including the given gold standard.</dd>
<dt>control</dt>
<dd>(optional) A list of parameters (not used).</dd>
<dt>...</dt>
<dd>Additional parameters (not used).</dd></dl>

Arguments

Ordinary least squares estimation — lmEstimation

<dl>

<dt>x</dt>
<dd>An object of type <code><a href='https://rdrr.io/pkg/tm/man/matrix.html'>DocumentTermMatrix</a></code>.</dd>


<dt>response</dt>
<dd>Response variable including the given gold standard.</dd>


<dt>control</dt>
<dd>(optional) A list of parameters (not used).</dd>


<dt>...</dt>
<dd>Additional parameters (not used).</dd>

</dl>

lmEstimation: Ordinary least squares estimation

Description

Usage

Value

Arguments