Abstract
As a response to the urgent demand of methods that help detect depression at early stage, the work presented in this paper has adopted sentiment analysis techniques to analyse users’ contributions of social network to detect potential depression. A prototype has been developed, aiming at demonstrating the mechanism of the approach and potential social effect that may be delivered. The contributions include a depressive sentiment knowledge base and an algorithm to analyse textual data for depression detection.
Cite
CITATION STYLE
Tao, X., Zhou, X., Zhang, J., & Yong, J. (2016). Sentiment analysis for depression detection on social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10086 LNAI, pp. 807–810). Springer Verlag. https://doi.org/10.1007/978-3-319-49586-6_59
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
