Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering.
Peng YangYu YaoHuajian ZhouPublished in: IEEE Access (2020)
Keyphrases
- document clustering
- topic extraction
- topic detection
- document set
- text mining
- text documents
- document collections
- document corpus
- document clusters
- clustering algorithm
- negative matrix factorization
- document representation
- vector space model
- topic models
- clustering method
- text analysis
- pairwise constraints
- topic modeling
- related documents
- latent dirichlet allocation
- news articles
- automatic summarization
- cluster analysis
- latent semantic space