Corps

A Corpus of Tagged Political Speeches for Persuasive Communication Processing

Datos Bibliográficos

ID12972190
AutoresMarco Guerini (0000-0003-1582-6617, autor de correspondencia), Carlo Strapparava (0000-0002-9365-0242), Oliviero Stock (0000-0001-5021-411X)
Año2008
Volumen5
Número1
Páginas19-32
Fecha de publicación2008-07-14
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Information Technology & Politics (JOURNAL)
Identificadores de la revistaISSN: 1933-169X • E-ISSN: 1933-1681
EditorialRoutledge (PUBLISHER • GB)
DOI10.1080/19331680802149616
OpenAlexW2000289272
IdiomaEN
Citas recibidas5
Referencias citadas21

In political speech, even if the audience is sympathetic to the speaker and does not need to be persuaded, it tends to react or respond to signals of persuasive communication (including an expected theme, a name, an expression, and the tone of the voice). In this article, we describe the creation of a corpus of political speeches tagged with audience reactions, such as applause, as indicators of persuasive expressions. We hypothesize that corpora of this kind can be usefully employed in the qualitative analysis of political communication. In addition, we present a corpus-based approach for persuasive expression mining that relies on techniques from natural language processing (NLP). We show how the approach can support the analysis of political communication, providing insights well beyond those of traditional word-counting analysis techniques

Corpus linguistics · Expression (computer science · Linguistics · Natural language processing · Persuasion · Persuasive Technology · Political communication · Political science · Politics · Qualitative analysis · Qualitative research · Sentiment analysis · Social science · Sociology · Theme (computing · Tone (literature · World Wide Web · Computational and Text Analysis Methods · Computer Science · Language, Metaphor, and Cognition · Sentiment Analysis and Opinion Mining