lexicons

A list containing all built-in lexicons as a <code>data.table</code> with two columns: a <code>x</code> column with the words, and a
<code>y</code> column with the polarities. The list element names incorporate consecutively the name and language, and
<code>"_tr"</code> as suffix if the lexicon is translated. The lexicons are in the format required for further sentiment analysis.
The built-in lexicons are the following:<ul>
<li>FEEL_eng_tr (FEEL: French Expanded Emotion Lexicon)</li>
<li>FEEL_fr</li>
<li>FEEL_nl_tr</li>
<li>GI_eng (GI: General Inquirer, i.e. Harvard IV-4 combined with Laswell)</li>
<li>GI_fr_tr</li>
<li>GI_nl_tr</li>
<li>HENRY_eng (HENRY: Henry)</li>
<li>HENRY_fr_tr</li>
<li>HENRY_nl_tr</li>
<li>LM_eng (LM: Loughran and McDonald)</li>
<li>LM_fr_tr</li>
<li>LM_nl_tr</li>
</ul>

datasets

Time series analysis based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in many ways. As described in Ardia et al. (2017) <https://ssrn.com/abstract=3067734>, the package provides a means to model the impact of sentiment in texts on a target variable, by first computing a wide range of textual sentiment measures and then selecting those that are most informative.

Samuel Borms

sentometrics

An Integrated Framework for Textual Sentiment Time Series
Aggregation and Prediction

David Ardia

Keven Bluteau

Kris Boudt

lexicons function

A list with all built-in lexicons, appropriately named as <code>"NAME_language(_tr)"</code> .

Format

Built-in lexicons — lexicons

Built-in lexicons

lexicons: Built-in lexicons

Description

Usage

Arguments

Format

Examples