| Title |
The Textual Data Analysis Approach to Assist the Diagnosis of Smart Cities Initiatives |
| ID_Doc |
38579 |
| Authors |
Founoun, A; Hayar, A; Haqiq, A |
| Title |
The Textual Data Analysis Approach to Assist the Diagnosis of Smart Cities Initiatives |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/isc246665.2019.9071663 |
| Abstract |
This paper comes to present the interest in the regulation tools and laws of smart city as well as how the artificial intelligence can help to diagnose the level of maturity of the local regulation through the textual data analysis. Secondly, we address the assessment of the orientation of the regulatory efforts within the cities through the analysis of diagnosis results. |
| Author Keywords |
Smart city; textual evaluation; Regulation; environment; ADS; IRAMUTEQ |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000848525400025 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Green & Sustainable Science & Technology; Engineering, Multidisciplinary |
| Research Area |
Computer Science; Science & Technology - Other Topics; Engineering |
| PDF |
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