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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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It/Fr/En-Wiki-100 datasets

Authors: Alessandro Zangari; Matteo Marcuzzo; Andrea Albarelli; Andrea Gasparetto;

It/Fr/En-Wiki-100 datasets

Abstract

The 3 datasets derived from the Italian (ItWiki-100), French (FrWiki-100) and English (EnWiki-100) Wikipedia dumps, with articles tagged with related portals (100 most common per language). If you use this data you may cite these works: Gasparetto A, Marcuzzo M, Zangari A, Albarelli A. (2022) A Survey on Text Classification Algorithms: From Text to Predictions. Information 13, no. 2: 83. https://doi.org/10.3390/info13020083 Gasparetto A, Zangari A, Marcuzzo M, Albarelli A. (2022) A survey on text classification: Practical perspectives on the Italian language. PLOS ONE 17(7): e0270904. https://doi.org/10.1371/journal.pone.0270904

Related Organizations
Keywords

wikipedia, text classification, machine learning, french, multilingual, italian, english

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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