| Title |
Social media Sentiment Monitoring in Smart Cities An application to Moroccan dialects |
| ID_Doc |
42479 |
| Authors |
Dahbi, M; Saadane, R; Mbarki, S |
| Title |
Social media Sentiment Monitoring in Smart Cities An application to Moroccan dialects |
| Year |
2019 |
| Published |
|
| DOI |
10.1145/3368756.3368997 |
| Abstract |
Smart cities utilize different devices not only to solve the increasingly serious urban resource shortage, environmental pollution, traffic congestion, security risks but also to identify concerns of citizens. Building a smart city is not free from using social networks that have changed citizen's daily life and becoming a new source of real-time information, so there is no doubt that sentiment analysis can contribute as important decision support. we take these challenges by presenting a set of features that have been used with machine learning techniques, sentiment analysis, text classification to extract the intelligence needed from social media feeds containing Moroccan dialects. A case scenario analyses the opinions of users concerning the traffic in three cities in Morocco is illustrated in the following. |
| Author Keywords |
Smart cities; Sentiment analysis; Social media; Machine learning; Moroccan dialect |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000526374200022 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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