Event detection for exploring emotional upheavals of depressive people

Pin Hua Wu, Jia-Ling Koh, Arbee L.P. Chen

研究成果: 書貢獻/報告類型會議貢獻

摘要

Depression is a common illness that negatively affects how people feel, think, and act. It causes feelings of sadness and sleeping disorders. In serious cases, it leads to self-harm or suicide. Many researchers in computer science addressed the problem of depression detection. However, less research concerns the emotional upheaval of depressive people and investigates the reasons behind the depression. In this paper, a deep learning model is first constructed to automatically determine the negative sentiment degree for a Facebook post. The curves of emotional upheavals for depressive users are then generated. Based on the post contents, weather, and news data, relevant events are detected to infer the reasons of the negative emotions. A correlation analysis between the behavioral data of the depressive users on Facebook and their negative emotions is also conducted. The results of this study can not only provide a self-examination tool for depressive people, but also serve as a diagnostic assessment reference for medical personnel.

原文英語
主出版物標題Proceedings of the ACM Symposium on Applied Computing
發行者Association for Computing Machinery
頁面2086-2095
頁數10
ISBN(列印)9781450359337
DOIs
出版狀態已發佈 - 2019 一月 1
事件34th Annual ACM Symposium on Applied Computing, SAC 2019 - Limassol, 塞浦路斯
持續時間: 2019 四月 82019 四月 12

出版系列

名字Proceedings of the ACM Symposium on Applied Computing
Part F147772

會議

會議34th Annual ACM Symposium on Applied Computing, SAC 2019
國家塞浦路斯
城市Limassol
期間19/4/819/4/12

ASJC Scopus subject areas

  • Software

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  • 引用此

    Wu, P. H., Koh, J-L., & Chen, A. L. P. (2019). Event detection for exploring emotional upheavals of depressive people. 於 Proceedings of the ACM Symposium on Applied Computing (頁 2086-2095). (Proceedings of the ACM Symposium on Applied Computing; 卷 Part F147772). Association for Computing Machinery. https://doi.org/10.1145/3297280.3297485