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

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

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    抄録

    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.

    本文言語英語
    ホスト出版物のタイトルHuman Interface and the Management of Information
    ホスト出版物のサブタイトルSupporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings
    編集者Sakae Yamamoto
    出版社Springer Verlag
    ページ434-443
    ページ数10
    ISBN(印刷版)9783319585239
    DOI
    出版ステータス出版済み - 1 1 2017
    イベントThematic 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, カナダ
    継続期間: 7 9 20177 14 2017

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    10274 LNCS
    ISSN(印刷版)0302-9743
    ISSN(電子版)1611-3349

    その他

    その他Thematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017
    Countryカナダ
    CityVancouver
    Period7/9/177/14/17

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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