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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.
Clément Gautrais, Peggy Cellier, René Quiniou, Alexandre Termier. Topic Signatures in Political Campaign Speeches. EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark. ⟨hal-01640498⟩
