Semantic Gap in Predicting Mental Wellbeing through Passive Sensing-Reference-Cited by-同舟云学术

Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
language:
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Author:

Das Swain Vedant¹,Chen Victor¹,Mishra Shrija²,Mattingly Stephen M.³,Abowd Gregory D.⁴,De Choudhury Munmun¹

Affiliation:

1. School of Interactive Computing, Georgia Institute of Technology, United States

2. College of Computing, Georgia Institute of Technology, United States

3. University of Notre Dame, United States

4. Dept. of Electrical and Computer Engineering, Northeastern University, United States and School of Interactive Computing, Georgia Institute of Technology, USA

Funder

Intelligence Advanced Research Projects Activity

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3502037

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4. Silvio Amir Glen Coppersmith Paula Carvalho Mario J Silva and Byron C Wallace. 2017. Quantifying mental health from social media with neural user embeddings. arXiv preprint arXiv:1705.00335(2017). Silvio Amir Glen Coppersmith Paula Carvalho Mario J Silva and Byron C Wallace. 2017. Quantifying mental health from social media with neural user embeddings. arXiv preprint arXiv:1705.00335(2017).

5. Influence and correlation in social networks

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