Monitoring system for potential users with depression using sentiment analysis
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Abstract
This paper presents a monitoring solution for users with potential psychological disturbs, specifically stress. The phrases extracted from Social Networks are filtered by mood and scored using a sentiment-analysis-metric that considers personal characteristics, such as gender and age. The solution informs, to authorized persons, the emotional changes of the users.
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2016 IEEE International Conference on Consumer Electronics, ICCE 2016, p. 381-382.
