Detecting depression stigma on social media: A linguistic analysis.
Journal of Affective Disorders(2018)
摘要
•This study reveals the ways in which depression stigma presents on social media.•Linguistic analysis can be helpful to detect depression stigma on social media.•6.09% of relevant social media posts reflected depression stigma.•The accuracy of online detection of stigma reached 75.2% and 86.2% (F-Measure).
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WUP,API,DSS,SCLIWC,GRAE,SAE,CAE,SLR,MLPNN,SVM,RF
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