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Research on Paper Submission Management System by Using Automatic Text Categorization

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Book cover Advances in Human Factors, Software, and Systems Engineering (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 598))

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Abstract

The submission management system is a software system, also known as submission processing that streamlines and eases out the collection, tracking and management of paper submissions. Paper information can be received, authenticated, tracked, stored, and distributed electronically. The submission system of transaction and conference need sort thousands of papers into hundreds of reviewers to examine and comment. It is not good that these papers are sort into hundreds of reviewers to examine and comment in a short time, because the matching precision is low. Aiming at solving the above questions, the paper submission management system by using automatic text categorization is proposed in the paper. The system can automatically sort the submission papers and the published papers of the reviewer into the right subject, so we can judge the subject of the submission papers and the research direction of the reviewer.

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Author information

Authors and Affiliations

  1. College of Sports Engineering and Information Technology, Wuhan Sports University, Wuhan, 430079, China

    Qi Luo

  2. School of Educational Information Technology, Central China Normal University, Wuhan, 430079, China

    Qi Luo

  3. Flat 5, La Medidionale, Gorg Borg Olivier Street, St. Julian’s, 1017, Malta

    Qi Luo

Authors
  1. Qi Luo
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Corresponding author

Correspondence to Qi Luo .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Tareq Ahram

  2. University of Central Florida, Winter Park, Florida, USA

    Waldemar Karwowski

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Cite this paper

Luo, Q. (2018). Research on Paper Submission Management System by Using Automatic Text Categorization. In: Ahram, T., Karwowski, W. (eds) Advances in Human Factors, Software, and Systems Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-60011-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-60011-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60010-9

  • Online ISBN: 978-3-319-60011-6

  • eBook Packages: EngineeringEngineering (R0)

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