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Smart city article details
| Title | Sentiment Analysis To Manage Health Crisis In Smart Cities |
|---|---|
| ID_Doc | 48466 |
| Authors | Bouhissi H.E.; Itmacene O.; Oubekkou M.; Pavlova O.; Hovorushchenko T.; Shestakevych T. |
| Year | 2023 |
| Published | International Scientific and Technical Conference on Computer Sciences and Information Technologies |
| DOI | http://dx.doi.org/10.1109/CSIT61576.2023.10324043 |
| Abstract | Sentiment analysis is a branch of natural language processing that analyzes textual data and provides insights into users' opinions. In the context of smart cities, sentiment analysis seeks to seamlessly integrate technological innovations into people's daily lives, fostering sustainability and enhancing overall quality of life while monitoring citizen satisfaction levels. This approach allows for more precise analysis and facilitates the implementation of strategies geared towards improving services and the general quality of life. The aim of this paper is to propose an approach for managing healthcare crises in smart cities. The proposal relies on a hybrid approach that combines LSTM for tweet classification with EHO for optimizing classification parameters. Experimental results have demonstrated the effectiveness of this proposed technique. © 2023 IEEE. |
| Author Keywords | deep learning; EHO; LSTM; machine learning; Sentiment analysis; smart city |
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