LoughranMcDonald

The Loughran-McDonald lexicon for financial texts adapted for
usage in sentopics. The lexicon is enhanced with two list of
valence-shifting words.

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

LoughranMcDonald function

A quanteda::dictionary containing two polarity categories (negative
and positive) and two valence-shifting categories (negator and amplifier).

Format

Loughran-McDonald lexicon — LoughranMcDonald

Loughran-McDonald lexicon

LoughranMcDonald: Loughran-McDonald lexicon

Description

Usage

Arguments

Format

References

See Also

Examples