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Quantitative and Qualitative Approach of Scientific Paper Popularity By Naïve Bayes Classifier

Authors

  • Tobias Ribeiro Sombra

    Federal University of Rio de Janeiro (UFRJ)

    Author

  • Rose Marie Santini

    Brazilian Institute of Information, Science and Technology (IBICT) - Federal University of Rio de Janeiro (UFRJ)

    Author

  • Emerson Cordeiro Morais

    Federal Rural University of Amazonia (UFRA)

    Author

  • Walmir Oliveira Couto

    Federal Rural University of Amazonia (UFRA)

    Author

  • Alex de Jesus Zissou

    Federal Rural University of Amazonia (UFRA)

    Author

  • Pedro Silvestre da Silva Campos

    Federal Rural University of Amazonia (UFRA)

    Author

  • Paulo Cerqueira dos Santos Junior

    Federal Rural University of Amazonia (UFRA)

    Author

  • Glauber Tadaiesky Marques

    Federal Rural University of Amazonia (UFRA)

    Author

  • Otavio Andre Chase

    Amazonia Federal Rural University (UFRA)

    https://orcid.org/0000-0003-0246-8339 (unauthenticated)

    Author

  • José Felipe Souza de Almeida

    Federal Rural University of Amazonia (UFRA)

    https://orcid.org/0000-0001-7732-6955 (unauthenticated)

    Author

DOI:
https://doi.org/10.31686/ijier.vol8.iss8.2482
Keywords:
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Abstract

Usually, scientific research begins with the collection of data in which online social media tools can be some of the most rewarding and informative resources. The extensive measure of accessible information pulls in users from undergraduate students to postdoc. The search for scientific themes has popularized due to the availability of abundant publications that resides in scientific social networks such as Mendeley, ResearchGate etc. Articles are published on these media inform of text for knowledge dissemination, scientific support, research, updates etc, and are frequently uploaded after its publication in a proceedings or journal. In this sense, data collected from database often contains high noise and its analysis can be treated as a characterization undertaking as it groups the introduction of a content into either good or bad. In this text, we present quantitative and qualitative analysis of papers popularity in Mendeley repository by using naive Bayes Classifier.

Author Biography
  1. Tobias Ribeiro Sombra, Federal University of Rio de Janeiro (UFRJ)

    Brazilian Institute of Information, Science and Technology (IBICT) 

References

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Published
2020-08-01
Issue
Vol. 8 No. 8 (2020): International Journal for Innovation Education and Research
Section
Journal Articles
License

Copyright (c) 2020 Tobias Ribeiro Sombra, Rose Marie Santini , Emerson Cordeiro Morais , Walmir Oliveira Couto , Alex de Jesus Zissou , Pedro Silvestre da Silva Campos , Paulo Cerqueira dos Santos Junior , Glauber Tadaiesky Marques , Otavio Andre Chase, José Felipe Souza de Almeida

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How to Cite

Sombra, T., Santini, R., Morais , E., Couto , W. ., Zissou , A. ., Campos , P., Santos Junior , P. ., Marques, G., Chase, O., & Almeida, J. F. (2020). Quantitative and Qualitative Approach of Scientific Paper Popularity By Naïve Bayes Classifier. International Journal for Innovation Education and Research, 8(8), 24-33. https://doi.org/10.31686/ijier.vol8.iss8.2482