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This document presents the creation of a text classifier to predict the disciplinary affiliation of titles (from books or articles) in the humanities and social sciences. It implements ISIDORE and Keras API for Deep Learning.
Deep Learning, ISIDORE, https://data.bnf.fr/ark:/12148/cb17706295v, http://id.loc.gov/authorities/subjects/sh85079324, social sciences, text classifier, humanities, Keras
Deep Learning, ISIDORE, https://data.bnf.fr/ark:/12148/cb17706295v, http://id.loc.gov/authorities/subjects/sh85079324, social sciences, text classifier, humanities, Keras
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
views | 152 | |
downloads | 7 |