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Lightme: analysing language in internet support groups for mental health
Gabriela Ferraro
, Brendan Loo Gee
, Shenjia Ji
,
Luis Salvador-Carulla
Research output
:
Contribution to journal
›
Article
›
peer-review
10
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Citations (Scopus)
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Keyphrases
Mental Health
100%
Triage
100%
Internet Support Group
100%
Young People
33%
Storytelling
33%
Health Care Services
33%
Classification Methods
33%
Online Forums
33%
Linguistic Features
33%
Classification Performance
33%
Lexical Resources
33%
Natural Language Processing
33%
Textual Content
33%
Safe Use
33%
Negative Emotional Reactions
33%
Promising Solutions
33%
Machine Learning Technology
33%
Health Forums
33%
Automated Text Classification
33%
Computer Science
Mental Disorder
100%
Mental Health
100%
Classification Performance
50%
Text Classification
50%
Classification Method
50%
Natural Language Processing
50%
Machine Learning Technology
50%
Textual Content
50%
Social Sciences
Mental Health
100%
Narrative Method
50%
Health Service
50%
Research Priorities
50%
Natural Language Processing
50%
Learning Technology
50%
Medicine and Dentistry
Mental Health
100%
Triage
100%
Health Service
33%
Language Processing
33%
Storytelling
33%
Nursing and Health Professions
Mental Health
100%
Triage
100%
Health Care
33%
Narrative Method
33%
Natural Language Processing
33%