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Title: Cross-Domain Depression Detection via Harvesting Social Media
Authors: Tiancheng Shen
Jia Jia
Guangyao Shen
Fuli Feng 
Xiangnan He 
Huanbo Luan 
Jie Tang 
Thanassis Tiropanis
Tat-Seng Chua 
Wendy Hall
Issue Date: 27-Oct-2018
Publisher: International Joint Conferences on Artificial Intelligence
Citation: Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall (2018-10-27). Cross-Domain Depression Detection via Harvesting Social Media. EMNLP 2018 : 1611-1617. ScholarBank@NUS Repository.
Abstract: Depression detection is a significant issue for human well-being. In previous studies, online detection has proven effective in Twitter, enabling proactive care for depressed users. Owing to cultural differences, replicating the method to other social media platforms, such as Chinese Weibo, however, might lead to poor performance because of insufficient available labeled (self-reported depression) data for model training. In this paper, we study an interesting but challenging problem of enhancing detection in a certain target domain (e.g. Weibo) with ample Twitter data as the source domain. We first systematically analyze the depression-related feature patterns across domains and summarize two major detection challenges, namely isomerism and divergency. We further propose a cross-domain Deep Neural Network model with Feature Adaptive Transformation & Combination strategy (DNN-FATC) that transfers the relevant information across heterogeneous domains. Experiments demonstrate improved performance compared to existing heterogeneous transfer methods or training directly in the target domain (over 3.4% improvement in F1), indicating the potential of our model to enable depression detection via social media for more countries with different cultural settings. © 2018 International Joint Conferences on Artificial Intelligence. All right reserved.
Source Title: EMNLP 2018
ISBN: 9780999241127
DOI: 10.24963/ijcai.2018/223
Appears in Collections:Staff Publications

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