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Text Authorship Identified Using the Dynamics of Word Co-Occurrence Networks
Automatic identification of authorship in disputed documents has benefited from complex network theory as this approach does not require human expertise or detailed semantic knowledge. Networks modeling entire books can be used to discriminate texts from different sources and understand network grow...
Tallennettuna:
Julkaisussa: | PLoS One |
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Päätekijät: | , , |
Aineistotyyppi: | Artigo |
Kieli: | Inglês |
Julkaistu: |
Public Library of Science
2017
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Aiheet: | |
Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5268788/ https://ncbi.nlm.nih.gov/pubmed/28125703 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0170527 |
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