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Analysing Dialogue for Diagnosis and Prediction in Mental Health
Published on Jan 09, 20183879 Views
Conditions which affect our mental health often affect the way we use language; and treatment often involves linguistic interaction. This talk will present work on three related projects investigating
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Chapter list
Analysing Dialogue for Diagnosis and Prediction in Mental Health00:00
Mental Health & Language00:20
Questions02:17
PPAT: Face to Face Dialogue03:26
Using Brute Force - 107:45
Using Brute Force - 214:08
Manual topic segmentation17:40
Topic Modelling18:40
LDA topic modelling - 119:31
LDA topic modelling - 220:26
Manual vs LDA topic correlation21:40
Outcome prediction using topics21:56
Linguistic analysis: Repair23:45
Compare other dialogue contexts25:12
Patient - doctor comparison26:21
But ...26:54
Schizophrenia: Summary28:51
Online Text - based Therapy30:02
Topics32:32
Topics vs Schizophrenia33:10
Topis vs severity & progress33:20
Sentiment/Emotion Detection34:29
Sentiment/Emotion vs PHQ35:46
Predicting final outcomes36:17
Predicting dropout37:58
Predicting therapy quality38:25
Depression/Anxiety: Summary38:55
SLADE: Dementia Diagnosis40:08
Dementia & Language41:09
Conversation-based studies43:32
Testing Interactional Features44:51
Doing better: Other-Repair47:05
Other-repair results48:33
Doing better: Self-repair48:51
Self - repair results49:37
Summary50:58
Acknowledgements52:32