Extraction of current actual status and demand expressions from complaint reports

Yuta Sano, Tsunenori Mine

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

Abstract

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.

Original languageEnglish
Title of host publication18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings
EditorsMaria Indrawan-Santiago, Gabriele Anderst-Kotsis, Matthias Steinbauer, Ismail Khalil
PublisherAssociation for Computing Machinery
Pages149-153
Number of pages5
ISBN (Electronic)9781450348072
DOIs
Publication statusPublished - Nov 28 2016
Event18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Singapore, Singapore
Duration: Nov 28 2016Nov 30 2016

Publication series

NameACM International Conference Proceeding Series

Other

Other18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016
CountrySingapore
CitySingapore
Period11/28/1611/30/16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Sano, Y., & Mine, T. (2016). Extraction of current actual status and demand expressions from complaint reports. In M. Indrawan-Santiago, G. Anderst-Kotsis, M. Steinbauer, & I. Khalil (Eds.), 18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings (pp. 149-153). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3011141.3011201