Extraction of current actual status and demand expressions from complaint reports

Yuta Sano, Tsunenori Mine

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

抄録

Government 2.0 activities have become very attractive and popular these days. Using platforms to support the activities such as FixMyStreet, SeeClickFix, or CitySourced, anyone can anytime report issues or complaints in a city with their photographs and geographical information on the Web, and share them with other people. On the other hand, unlike telephone calls, the concreteness of a report depends on its reporter; the actual status and demand to the status may not be described clearly or either one may be miss-described in the report. It may accordingly happen that officials in the city management section can not understand the actual sta-tus or a demand to the status from the report. To solve the problems, it is indispensable to complement missing in-formation and estimate the actual status or the demand to the status from ambiguous information in the report. This paper proposes novel methods to detect segments related to an actual status and the demand to the status in a report. The methods combine empirical rules with several machine learning techniques that actively use dependency relation between words. Experimental results illustrate the validity of the proposed methods.

本文言語英語
ホスト出版物のタイトル18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings
編集者Maria Indrawan-Santiago, Gabriele Anderst-Kotsis, Matthias Steinbauer, Ismail Khalil
出版社Association for Computing Machinery
ページ149-153
ページ数5
ISBN(電子版)9781450348072
DOI
出版ステータス出版済み - 11 28 2016
イベント18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Singapore, シンガポール
継続期間: 11 28 201611 30 2016

出版物シリーズ

名前ACM International Conference Proceeding Series

その他

その他18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016
国/地域シンガポール
CitySingapore
Period11/28/1611/30/16

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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