Analysis of the quality of academic papers by the words in abstracts

Tetsuya Nakatoh, Kenta Nagatani, Toshiro Minami, Sachio Hirokawa, Takeshi Nanri, Miho Funamori

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The investigation of related research is very important for research activities. However, it is not easy to choose an appropriate and important academic paper from among the huge number of possible papers. The researcher searches by combining keywords and then selects an paper to be checked because it uses an index that can be evaluated. The citation count is commonly used as this index, but information about recently published papers cannot be obtained. This research attempted to identify good papers using only the words included in the abstract. We constructed a classifier by machine learning and evaluated it using cross validation. As a result, it was found that a certain degree of discrimination is possible.

    Original languageEnglish
    Title of host publicationHuman Interface and the Management of Information
    Subtitle of host publicationSupporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings
    EditorsSakae Yamamoto
    PublisherSpringer Verlag
    Pages434-443
    Number of pages10
    ISBN (Print)9783319585239
    DOIs
    Publication statusPublished - 2017
    EventThematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017 - Vancouver, Canada
    Duration: Jul 9 2017Jul 14 2017

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10274 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    OtherThematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017
    CountryCanada
    CityVancouver
    Period7/9/177/14/17

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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