Yuta Sano
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 status or a demand to the status from the report. To solve the problems, it is indispensable to complement missing information 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.
- L. Breman. Random forest. Mach Learn, 45:5--32, 2001. Google Scholar
Digital Library
- H. Kanayama and T. Nasukawa. Textual demand analysis: detection of users' wants and needs from opinions. In Proceedings of the 22nd International Conference on Computational Linguistics-Volume 1, pages 409--416. Association for Computational Linguistics, 2008. Google ScholarDigital Library
- Y. Sano, K. Yamaguchi, and T. Mine. Automatic classification of complaint reports about city park. Information Engineering Express, 1(4):119--130, 2015.Google Scholar
- Y. W. Teh, M. Jordan, M. J. Beal, and D. M. Blei. Hierarchical dirichlet processes. Journal of the American Statistical Association, 101:1566--1581, 2006.Google ScholarCross Ref
Index Terms
- Extraction of current actual status and demand expressions from complaint reports
Recommendations
Category Estimation of Complaint Reports about City Park
IIAI-AAI '15: Proceedings of the 2015 IIAI 4th International Congress on Advanced Applied InformaticsA lot of actions have recently been taken to support Government 2.0 movement. As the number of the actions increase, many people submit greater number of complaint reports by phone or mobile devices, and make sure the situation reported with each other. ...
2021–2025: Forecast Analysis of Increased Housing Demand in Shenzhen
Services – SERVICES 2021AbstractHigh housing price and insufficient housing supply are the prominent problems facing the first-tier cities in China. And the affected factors of urban housing demand are so much, the stable housing market is so important in the process of urban ...
Comments