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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Claim

Wbbyyr: FastText language models for Mandarin Chinese, trained on 14m Sina Weibo posts for each year in 2012-2018 (Fold 1 of 10)

Research datakeyboard_double_arrow_right Dataset 11 Jan 2020Publisher:Zenodo
Authors: Li, Mingyang;

doi: 10.5281/zenodo.3605208 , 10.5281/zenodo.3605209

Wbbyyr: FastText language models for Mandarin Chinese, trained on 14m Sina Weibo posts for each year in 2012-2018 (Fold 1 of 10)

Abstract

Wbbyyr: FastText language models for Mandarin Chinese, trained on 14,440,000 Sina Weibo posts for each year in 2012-2018. The 14,440,000 posts from each year are split into 10 folds. Due to Zenodo size limit, this dataset contains only the first fold from each year. Each model is trained for 20 iterations. Each vector is 300 dimensions long.

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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!
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