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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...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4254290/ https://ncbi.nlm.nih.gov/pubmed/25470498 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0099515 |
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