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Predicting terrorist attacks in the United States using localized news data
Terrorism is a major problem worldwide, causing thousands of fatalities and billions of dollars in damage every year. To address this threat, we propose a novel feature representation method and evaluate machine learning models that learn from localized news data in order to predict whether a terror...
Autores principales: | Krieg, Steven J., Smith, Christian W., Chatterjee, Rusha, Chawla, Nitesh V. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246180/ https://www.ncbi.nlm.nih.gov/pubmed/35771757 http://dx.doi.org/10.1371/journal.pone.0270681 |
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