"Predicting Individual Well-Being Through the Language of Social Media."

H. Andrew Schwartz et al. (2016)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2020-03-12

- view
  - electronic edition @ stanford.edu (open access)
- export record
  dblp key:
  - conf/psb/SchwartzSKEKA0D16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/psb/SchwartzSKEKA0D16
H. Andrew Schwartz, Maarten Sap, Margaret L. Kern, Johannes C. Eichstaedt, Adam Kapelner, Megha Agrawal, Eduardo Blanco, Lukasz Dziurzynski, Gregory J. Park, David Stillwell, Michal Kosinski, Martin E. P. Seligman, Lyle H. Ungar:
Predicting Individual Well-Being Through the Language of Social Media. PSB 2016: 516-527

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.