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Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling
Twitter has become a popular data source as a surrogate for monitoring and detecting events. Targeted domains such as crime, election, and social unrest require the creation of algorithms capable of detecting events pertinent to these domains. Due to the unstructured language, short-length messages,...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211687/ https://www.ncbi.nlm.nih.gov/pubmed/25350136 http://dx.doi.org/10.1371/journal.pone.0110206 |