Author:
Chiu Chun Yueh,Lane Hsien Yuan,Koh Jia Ling,Chen Arbee L. P.
Funder
China Medical University Hospital
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference37 articles.
1. Andalibi, N., Ozturk, P., & Forte, A. (2015). Depression-related imagery on instagram. In Inproceedings of the 18th ACM Conference Companion on Computer Supported Cooperative work and social computing (pp. 231–234).
2. Borth, D., Ji, R., Chen, T., Breuel, T., & Chang, S.-F. (2013). Large-scale visual sentiment ontology and detectors using adjective noun pairs. In proceedings of the 21st ACM international conference on Multimedia (pp. 223–232).
3. Chen, X., Sykora, M.D., Jackson, T.W, & Elayan, S. (2018). What about mood swings: identifying depression on twitter with temporal measures of emotions. In Companion of the The Web Conference 2018 on The Web Conference (pp. 1653–1660).
4. Cong, Q., Feng, Z., Li, F., Xiang, Y., Rao, G., & Tao, C. (2018). XA-BiLSTM: a Deep Learning Approach for Depression Detection in Imbalanced Data. In 2018 IEEE International Conference on Bioinformatics and Biomedicine BIBM (pp. 1624–1627).
5. De Choudhury, M., Gamon, M., Counts, S., & Horvitz, E. (2013). Predicting depression via social media, in Seventh international AAAI conference on weblogs and social media.
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