Research Article
Autonomous Classification and Decision-Making Support of Citizen E-Petitions Based on Bi-LSTM-CNN
Table 3
Classes and volume of the petition data set.
| | Reply departments | Volume | Label | Proportion (%) |
| | Municipal Finance Bureau | 1174 | 0 | 4.18 | | Public Security Bureau | 3033 | 1 | 10.80 | | Municipal Education Commission | 4765 | 2 | 16.97 | | Municipal Human Resources and Social Security Bureau | 1707 | 3 | 6.08 | | Municipal Administration for Market Regulation | 5597 | 4 | 19.93 | | Municipal Health Commission | 1437 | 5 | 5.12 | | Municipal Commission of Housing and Urban-Rural Development | 3992 | 6 | 14.21 | | Municipal Transportation Commission | 2446 | 7 | 8.71 | | Landscaping & City Appearance Administrative Bureau | 822 | 8 | 2.93 | | Urban Management and Law Enforcement Bureau | 1252 | 9 | 4.46 | | Planning and Natural Resources Bureau | 1860 | 10 | 6.62 |
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