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Published in:
2017 | OriginalPaper | Chapter
Toward Sentiment Analysis in Elderly Care Facility
Authors : Ken Fukuda, Satoshi Nishimura, Huizhi Liang, Takuichi Nishimura
Published in: New Frontiers in Artificial Intelligence
Publisher: Springer International Publishing
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Abstract
Hand-over notes are extremely important to share information about irregular incidents at elderly care facilities and provide high-quality services. However, taking notes is a time-consuming task. Moreover, handwritten hand-over notes make it difficult to pass on experience and related know-how to other workers. To curate that field community intelligence, a handover support system for elderly care facilities was installed into a facility and evaluated. The system is now in actual operation at the care facility. The authors aim to use handover support system as a communication tool that sense the feelings of the care workers and supports them to maintain motivation and cultivate self-directedness. To realize this aim, this paper reports the results of hand-over data analysis and comparison with traditional paper-based hand-over notes. Furthermore, the authors explored the possibility of applying sentiment analysis technology to hand-over messages to sense the atmosphere of their working environment.