論文

筆頭著者
2012年

Descriminant words for problems in scientific articles

Proceedings - 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012
  • Toshihiko Sakai
  • ,
  • Jun Zeng
  • ,
  • Brendan Flanagan
  • ,
  • Tetsuya Nakatoh
  • ,
  • Sachio Hirokawa

開始ページ
267
終了ページ
271
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICIS.2012.42
出版者・発行元
IEEE Computer Society

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. © 2012 IEEE.

リンク情報
DOI
https://doi.org/10.1109/ICIS.2012.42
DBLP
https://dblp.uni-trier.de/rec/conf/ACISicis/SakaiZFNH12
URL
https://dblp.uni-trier.de/conf/ACISicis/2012
URL
https://dblp.uni-trier.de/db/conf/ACISicis/ACISicis2012.html#SakaiZFNH12
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84864058473&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84864058473&origin=inward
ID情報
  • DOI : 10.1109/ICIS.2012.42
  • DBLP ID : conf/ACISicis/SakaiZFNH12
  • SCOPUS ID : 84864058473

エクスポート
BibTeX RIS