Using Topic Extraction on Social Media Content for the Early Detection of Depression.
Diego MaupoméMarie-Jean MeursPublished in: CLEF (Working Notes) (2018)
Keyphrases
- early detection
- topic extraction
- social media content
- sentiment analysis
- text analysis
- security informatics
- document classification
- social media
- document clustering
- user generated content
- topic modeling
- latent dirichlet allocation
- text mining
- blog entries
- breast cancer
- automatic diagnosis
- lung cancer
- text classification
- user interaction
- text documents
- topic models
- opinion mining
- social networks
- text categorization
- skin cancer
- natural language processing
- computational methods
- classification algorithm
- content analysis
- web content
- machine learning
- logistic regression
- user interface
- knowledge base
- document collections