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,...

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Detalles Bibliográficos
Autores principales: Zhao, Liang, Chen, Feng, Dai, Jing, Hua, Ting, Lu, Chang-Tien, Ramakrishnan, Naren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
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

Internet

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

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