Inferring Mood Instability on Social Media by Leveraging Ecological Momentary Assessments

Author:

Saha Koustuv1,Chan Larry1,De Barbaro Kaya1,Abowd Gregory D.1,De Choudhury Munmun1

Affiliation:

1. Georgia Institute of Technology

Funder

Georgia Tech IISP Human Facing Privacy Thrust Award

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference82 articles.

1. Towards Personal Stress Informatics: Comparing Minimally Invasive Techniques for Measuring Daily Stress in the Wild

2. Jules Angst and Giovanni Cassano. 2005. The mood spectrum: improving the diagnosis of bipolar disorder. Bipolar disorders 7 s4 (2005) 4--12. Jules Angst and Giovanni Cassano. 2005. The mood spectrum: improving the diagnosis of bipolar disorder. Bipolar disorders 7 s4 (2005) 4--12.

3. Martin M Antony Peter J Bieling Brian J Cox Murray W Enns and Richard P Swinson. 1998. Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological assessment 10 2 (1998) 176. Martin M Antony Peter J Bieling Brian J Cox Murray W Enns and Richard P Swinson. 1998. Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological assessment 10 2 (1998) 176.

4. Timothy Baldwin Paul Cook Marco Lui Andrew MacKinlay and Li Wang. 2013. How noisy social media text how diffrnt social media sources?. In IJCNLP. 356--364. Timothy Baldwin Paul Cook Marco Lui Andrew MacKinlay and Li Wang. 2013. How noisy social media text how diffrnt social media sources?. In IJCNLP. 356--364.

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