| Presentation | 2015-12-18 Complaint Data Analysis to Estimate Issue Resolution Date Yuta Sano, Kohei Yamaguchi, Tsunenori Mine, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, there has been growing Government 2.0 movement which means local problems reported by citizens are published on the Web, and resolved by both citizens and officials in a city management section by taking charge of part of the problems in accordance with the problem contents. On the other hand, because the state of correspondence concerning reported situations are also published, citizens feel dissatisfaction for the city management section if slow to resolve. If the city management section can show citizens the number of days needed to solve each problem, the dissatisfaction of the citizens would be alleviated. In this paper, we try to estimate the number of needed days using complaint reports which are records of actual complaints and complaint processing. Also, we conducted experiments to estimate the number of needed days using kernel density estimation. The experimental results show the following findings: (1) Frequent words in complaint reports are not useful for the estimation. (2) There are less words to be related to the number of needed days in complaint reports. (3) Variance-based keyword extraction is useful for the estimation. (4) Weighting in the estimation is not always useful. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Number of Days Estimation / Complaint Reports / Government 2.0 / Kernel Density Estimation |
| Paper # | AI2015-31 |
| Date of Issue | 2015-12-11 (AI) |
| Conference Information | |
| Committee | AI |
|---|---|
| Conference Date | 2015/12/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Toshiharu Sugawara(Waseda Univ.) |
| Vice Chair | Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.) |
| Secretary | Tsunenori Mine(Kyoto Univ.) / Daisuke Katagami(Shizuoka Univ.) |
| Assistant | Yuichi Sei(Univ. of Electro-Comm.) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Complaint Data Analysis to Estimate Issue Resolution Date |
| Sub Title (in English) | |
| Keyword(1) | Number of Days Estimation |
| Keyword(2) | Complaint Reports |
| Keyword(3) | Government 2.0 |
| Keyword(4) | Kernel Density Estimation |
| 1st Author's Name | Yuta Sano |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Kohei Yamaguchi |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 3rd Author's Name | Tsunenori Mine |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2015-12-18 |
| Paper # | AI2015-31 |
| Volume (vol) | vol.115 |
| Number (no) | AI-381 |
| Page | pp.pp.31-36(AI), |
| #Pages | 6 |
| Date of Issue | 2015-12-11 (AI) |