"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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Bibliografiske detaljer
Udgivet i:PLoS One
Main Authors: Arras, Leila, Horn, Franziska, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2017
Fag:
Research Article
Online adgang: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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