ECB_press_conferences

<p>A corpus of 260 ECB press conference, split into 4224
paragraphs. The corpus contains a number of <em>docvars</em> indicating the date
of the press conference and a measured sentiment based on the
Loughran-McDonald lexicon.</p>

datasets

A framework that joins topic modeling and sentiment analysis of
textual data. The package implements a fast Gibbs sampling estimation of
Latent Dirichlet Allocation (Griffiths and Steyvers (2004)
<doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He,
Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of
helpers and visualizations to analyze the result of topic modeling. The
framework also allows enriching topic models with dates and externally
computed sentiment measures. A flexible aggregation scheme enables the
creation of time series of sentiment or topical proportions from the enriched
topic models. Moreover, a novel method jointly aggregates topic proportions
and sentiment measures to derive time series of topical sentiment.

Olivier Delmarcelle

sentopics

Tools for Joint Sentiment and Topic Analysis of Textual Data

Samuel Borms

Chengua Lin

Yulan He

Jose Bernardo

David Robinson

Julia Silge

ECB_press_conferences function

Format

Corpus of press conferences from the European Central Bank — ECB_press_conferences

Corpus of press conferences from the European Central Bank

ECB_press_conferences: Corpus of press conferences from the European Central Bank

Description

Usage

Arguments

Format

See Also

Examples