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ZENODO
Software . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2019
License: CC BY
Data sources: ZENODO
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
Software . 2019
License: CC BY
Data sources: Datacite
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Pet Adoption Metadata Analysis

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 Apr 2019 English Publisher:Zenodo
Authors: Wang, Jue;

doi: 10.5281/zenodo.2651913 , 10.5281/zenodo.2651912

Pet Adoption Metadata Analysis

Abstract

This is a capstone project intend to use visualization and NLP in order to predict adoption speed by using other variables in the metadata.

This is Dats 6501 capstone project

Keywords

pet adoption, Multinomial Naïve Bayes, data mining, Natural Language Processing (NLP), Random Forest Classifier, visualization

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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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