Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model.
about
Validating Machine Learning Algorithms for Twitter Data Against Established Measures of SuicidalitySuicide Communication on Social Media and Its Psychological Mechanisms: An Examination of Chinese Microblog Users.Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning StudyResearching Mental Health Disorders in the Era of Social Media: Systematic Review.Harnessing Social Media to Explore Youth Social Withdrawal in Three Major Cities in China: Cross-Sectional Web Survey.Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.Mining social media data: How are research sponsors and researchers addressing the ethical challenges?
P2860
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P2860
Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model.
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name
Identifying Chinese Microblog ...... eatures: Classification Model.
@ast
Identifying Chinese Microblog ...... eatures: Classification Model.
@en
type
label
Identifying Chinese Microblog ...... eatures: Classification Model.
@ast
Identifying Chinese Microblog ...... eatures: Classification Model.
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Identifying Chinese Microblog ...... eatures: Classification Model.
@ast
Identifying Chinese Microblog ...... eatures: Classification Model.
@en
P2093
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P50
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Identifying Chinese Microblog ...... eatures: Classification Model.
@en
P2093
Paul Sf Yip
Qijin Cheng
Tingshao Zhu
P2860
P356
10.2196/MENTAL.4227
P577
2015-04-01T00:00:00Z