Paper Info
Title
Topic Signatures in Political Campaign Speeches.
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.
Year
DOI
Venue
2017
10.18653/v1/d17-1249
EMNLP
Field
DocType
Volume
Data science,Presidential system,Computer science,Artificial intelligence,Natural language processing,Topic model,Politics
Conference
D17-1
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Clément Gautrais113.44
Peggy Cellier29015.95
René Quiniou310014.23
Alexandre Termier430327.82