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"What is relevant in a text document?": An interpretable machine learning approach
Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML) models have been trained to automatically map documents to these abstract concepts, allowing to annotate very large text collections, more than could be proc...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5553725/ https://ncbi.nlm.nih.gov/pubmed/28800619 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0181142 |
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