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

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

doi:10.1007/978-3-319-58524-6_34

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 proceeding › Conference 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 language	English
Title of host publication	Human Interface and the Management of Information
Subtitle of host publication	Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings
Editors	Sakae Yamamoto
Publisher	Springer Verlag
Pages	434-443
Number of pages	10
ISBN (Print)	9783319585239
DOIs	https://doi.org/10.1007/978-3-319-58524-6_34
Publication status	Published - 2017
Event	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, Canada Duration: Jul 9 2017 → Jul 14 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10274 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	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/Territory	Canada
City	Vancouver
Period	7/9/17 → 7/14/17

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-58524-6_34

Cite this

Nakatoh, T., Nagatani, K., Minami, T., Hirokawa, S., Nanri, T., & Funamori, M. (2017). Analysis of the quality of academic papers by the words in abstracts. In S. Yamamoto (Ed.), Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings (pp. 434-443). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10274 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58524-6_34

Analysis of the quality of academic papers by the words in abstracts. / Nakatoh, Tetsuya; Nagatani, Kenta; Minami, Toshiro et al.
Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. ed. / Sakae Yamamoto. Springer Verlag, 2017. p. 434-443 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10274 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nakatoh, T, Nagatani, K, Minami, T, Hirokawa, S, Nanri, T & Funamori, M 2017, Analysis of the quality of academic papers by the words in abstracts. in S Yamamoto (ed.), Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10274 LNCS, Springer Verlag, pp. 434-443, 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, Canada, 7/9/17. https://doi.org/10.1007/978-3-319-58524-6_34

Nakatoh T, Nagatani K, Minami T, Hirokawa S, Nanri T, Funamori M. Analysis of the quality of academic papers by the words in abstracts. In Yamamoto S, editor, Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. Springer Verlag. 2017. p. 434-443. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-58524-6_34

Nakatoh, Tetsuya ; Nagatani, Kenta ; Minami, Toshiro et al. / Analysis of the quality of academic papers by the words in abstracts. Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. editor / Sakae Yamamoto. Springer Verlag, 2017. pp. 434-443 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

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