arXiv Open Access 2024

Words of War: Exploring the Presidential Rhetorical Arsenal with Deep Learning

Wyatt Scott Brett Genz Sarah Elmasry Sodiq Adewole
Lihat Sumber

Abstrak

In political discourse and geopolitical analysis, national leaders words hold profound significance, often serving as harbingers of pivotal historical moments. From impassioned rallying cries to calls for caution, presidential speeches preceding major conflicts encapsulate the multifaceted dynamics of decision-making at the apex of governance. This project aims to use deep learning techniques to decode the subtle nuances and underlying patterns of US presidential rhetoric that may signal US involvement in major wars. While accurate classification is desirable, we seek to take a step further and identify discriminative features between the two classes (i.e. interpretable learning). Through an interdisciplinary fusion of machine learning and historical inquiry, we aspire to unearth insights into the predictive capacity of neural networks in discerning the preparatory rhetoric of US presidents preceding war. Indeed, as the venerable Prussian General and military theorist Carl von Clausewitz admonishes, War is not merely an act of policy but a true political instrument, a continuation of political intercourse carried on with other means (Clausewitz, 1832).

Topik & Kata Kunci

Penulis (4)

W

Wyatt Scott

B

Brett Genz

S

Sarah Elmasry

S

Sodiq Adewole

Format Sitasi

Scott, W., Genz, B., Elmasry, S., Adewole, S. (2024). Words of War: Exploring the Presidential Rhetorical Arsenal with Deep Learning. https://arxiv.org/abs/2412.08868

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
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Open Access ✓