Skip to main navigation
Skip to search
Skip to main content
University of Canberra Research Portal Home
Search content at University of Canberra Research Portal
Home
Profiles
Research output
Projects
Press/MediaIO
Activities
Research units
Prizes
Student theses
Impacts
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
Link opens in a new tab
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Lightme: analysing language in internet support groups for mental health'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Automated Text Classification
33%
Classification Methods
33%
Classification Performance
33%
Health Care Services
33%
Health Forums
33%
Internet Support Group
100%
Lexical Resources
33%
Linguistic Features
33%
Machine Learning Technology
33%
Mental Health
100%
Natural Language Processing
33%
Negative Emotional Reactions
33%
Online Forums
33%
Promising Solutions
33%
Safe Use
33%
Storytelling
33%
Textual Content
33%
Triage
100%
Young People
33%
Computer Science
Classification Method
50%
Classification Performance
50%
Machine Learning Technology
50%
Mental Disorder
100%
Mental Health
100%
Natural Language Processing
50%
Text Classification
50%
Textual Content
50%
Social Sciences
Health Service
50%
Learning Technology
50%
Mental Health
100%
Narrative Method
50%
Natural Language Processing
50%
Research Priorities
50%
Medicine and Dentistry
Health Service
33%
Language Processing
33%
Mental Health
100%
Storytelling
33%
Triage
100%
Nursing and Health Professions
Health Care
33%
Mental Health
100%
Narrative Method
33%
Natural Language Processing
33%
Triage
100%