Descriminant words for problems in scientific articles

Toshihiko Sakai, Jun Zeng, Brendan Flanagan, Tetsuya Nakatoh, Sachio Hirokawa

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

    2 被引用数 (Scopus)

    抄録

    Various viewpoints are required to make a survey and a trend analysis on related research. In order to find important problems, especially in unfamiliar field, simple search and clustering is not enough. We have to read most of the articles carefully. The work requires a lot of time and effort. This paper analyzes the sentences that describe the problem using SVM. It turned out the negative words are more effective in discernment than manually selected clue words or the positive words.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012
    ページ267-271
    ページ数5
    DOI
    出版ステータス出版済み - 7 25 2012
    イベント2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012 - Shanghai, 中国
    継続期間: 5 30 20126 1 2012

    出版物シリーズ

    名前Proceedings - 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012

    その他

    その他2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012
    国/地域中国
    CityShanghai
    Period5/30/126/1/12

    All Science Journal Classification (ASJC) codes

    • コンピュータ ネットワークおよび通信
    • 情報システム

    引用スタイル