Extraction of Temporal Networks from Term Co-Occurrences in Online Textual Sources

A stream of unstructured news can be a valuable source of hidden relations between different entities, such as financial institutions, countries, or persons. We present an approach to continuously collect online news, recognize relevant entities in them, and extract time-varying networks. The nodes...

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Detalles Bibliográficos
Autores principales: Popović, Marko, Štefančić, Hrvoje, Sluban, Borut, Kralj Novak, Petra, Grčar, Miha, Mozetič, Igor, Puliga, Michelangelo, Zlatić, Vinko
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/PMC4254290/
https://www.ncbi.nlm.nih.gov/pubmed/25470498
http://dx.doi.org/10.1371/journal.pone.0099515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254290/
https://www.ncbi.nlm.nih.gov/pubmed/25470498
http://dx.doi.org/10.1371/journal.pone.0099515

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