Deep embedding for mental health content on social media using vector space model with feature clusters.
Aakansha GuptaRahul KataryaPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- vector space model
- vector space
- mental health
- social media
- agglomerative hierarchical clustering
- document clustering
- web documents
- user generated content
- semantic information
- information retrieval
- index terms
- clustering algorithm
- feature vectors
- retrieval model
- document representation
- semantic similarity
- latent semantic indexing
- language model
- metadata
- data points
- multimedia
- cluster analysis
- machine learning
- text categorization
- image features
- high level
- databases
- similarity search
- clustering method
- distance measure
- text mining