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