| Title |
ICDOI - The use of "Knowledge Discovery from Text" to analyze the inner-city distribution of interests over time |
| ID_Doc |
43446 |
| Authors |
Klahold, A; Fathi, M; Zenkert, J |
| Title |
ICDOI - The use of "Knowledge Discovery from Text" to analyze the inner-city distribution of interests over time |
| Year |
2019 |
| Published |
|
| DOI |
|
| Abstract |
The ICDOI ("Inner-City Distribution of Interest") procedure described in this paper uses "Knowledge Discovery from Text" to identify thematic focuses and trends from texts written in different locations in a city. Among other techniques, topic recognition and machine-based derived word associations are used. |
| Author Keywords |
Smart city; Messaging; Knowledge Discovery from Text; Interest over time; Trend Detection |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000848525400095 |
| 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 |
|