Work

Topic Signatures in Political Campaign Speeches

Year: 2017

Type: conference-paper

Abstract: Highlighting the recurrence of topics usage in candidates speeches is a key feature to identify the main ideas of each candidate during a political campaign.In this paper, we present a method combining standard topic modeling with signature mining for analyzing topic recurrence in speeches of Clinton and Trump during the 2016 American presidential campaign.The results show that the method extracts automatically the main ideas of each candidate and, in addition, provides information about the evolution of these topics during the campaign.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/d17-1249

Authors: Clément Gautrais, Peggy Cellier, René Quiniou, Alexandre Termier

Institutions: Institut de Recherche en Informatique et Systèmes Aléatoires, Université de Rennes, Institut National des Sciences Appliquées de Rennes, Institut national de recherche en sciences et technologies du numérique

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W2760163147

FWCI: 7.773

Cites: 16

Cited by: 7

Related to: 10