Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models.
Mattias LuberAnton ThielmannChristoph WeisserBenjamin SäfkenPublished in: CoRR (2021)
Keyphrases
- topic models
- community detection
- semi supervised
- graph clustering
- graph mining
- label propagation
- community detection algorithms
- real world networks
- generative model
- complex networks
- massive graphs
- probabilistic latent semantic analysis
- topic modeling
- author topic model
- latent dirichlet allocation
- community structure
- network analysis
- social networks
- negative matrix factorization
- co occurrence
- community discovery
- text mining
- nonnegative matrix factorization
- semi supervised learning
- probabilistic model
- link prediction
- graph theory
- unlabeled data
- labeled data
- latent topics
- densely connected
- supervised learning
- text documents
- unsupervised learning
- information networks
- document clustering
- graph databases
- weighted graph
- pairwise
- pairwise constraints
- social network analysis
- feature space
- data mining
- bayesian networks
- active learning
- databases
- text categorization