Descriminant words for problems in scientific articles

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

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

    2 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings - 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012
    Pages267-271
    Number of pages5
    DOIs
    Publication statusPublished - Jul 25 2012
    Event2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012 - Shanghai, China
    Duration: May 30 2012Jun 1 2012

    Publication series

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

    Other

    Other2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012
    CountryChina
    CityShanghai
    Period5/30/126/1/12

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Information Systems

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