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Monitoring Tweets for Depression to Detect At-risk Users
Zunaira Jamil
|
Diana Inkpen
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Prasadith Buddhitha
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Kenton White
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Paper Details:
Month: August
Year: 2017
Location: Vancouver, BC
Venue:
CLPsych |
WS |
Citations
URL
Deep Learning for Depression Detection of Twitter Users
Ahmed Husseini Orabi
|
Prasadith Buddhitha
|
Mahmoud Husseini Orabi
|
Diana Inkpen
|
http://www.phac-aspc.gc.ca/cd-mc/mi-mm/depression-
http://letstalk.bell.ca/en/
http://www.ctvnews.ca/health/bell-let-s-talk-breaks-
http://www.cmha.ca/media/fast-facts-about-mental-
http://www.aclweb.org/anthology/W/W14/W14-
https://doi.org/10.1145/2464464.2464480
http://www.aaai.org/ocs/index.php/ICWSM/
https://doi.org/10.18637/jss.v040.i13
http://CRAN.R-project.org/package=caret
http://www.mentalhealthcommission.ca/
http://www.R-project.org
http://www.rstudio.com/
http://www.aclweb.org/anthology/W/W14/W14-
http://www.aclweb.org/anthology/W16-0303
http://www.dcc.fc.up.pt/
https://doi.org/10.1145/2702123.2702280
http://www.who.int/features/factfiles/mental
Field Of Study
Task
Sentiment Analysis
Approach
Topic Modeling
Language
English
Dataset
Social Media
Twitter
Blogs
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