Back to Search
Start Over
Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining
- Source :
- Journal of Healthcare Engineering, Vol 2021 (2021), Journal of Healthcare Engineering
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- The paper presents a recommendation model for developing new smart city and smart health projects. The objective is to provide recommendations to citizens about smart city and smart health startups to improve entrepreneurship and leadership. These recommendations may lead to the country’s advancement and the improvement of national income and reduce unemployment. This work focuses on designing and implementing an approach for processing and analyzing tweets inclosing data related to smart city and smart health startups and providing recommended projects as well as their required skills and competencies. This approach is based on tweets mining through a machine learning method, the Word2Vec algorithm, combined with a recommendation technique conducted via an ontology-based method. This approach allows discovering the relevant startup projects in the context of smart cities and makes links to the needed skills and competencies of users. A system was implemented to validate this approach. The attained performance metrics related to precision, recall, and F-measure are, respectively, 95%, 66%, and 79%, showing that the results are very encouraging.
- Subjects :
- Entrepreneurship
Medicine (General)
Knowledge management
Computer science
Measures of national income and output
Biomedical Engineering
Health Informatics
Context (language use)
Ontology (information science)
Machine Learning
R5-920
Social media mining
Smart city
Medical technology
Data Mining
Humans
Word2vec
Cities
R855-855.5
business.industry
Work (electrical)
Surgery
business
Social Media
Algorithms
Research Article
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 20402309 and 20402295
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Journal of Healthcare Engineering
- Accession number :
- edsair.doi.dedup.....f3561a824e5947fb0903fbd9a518e556