Cluster-based sparse topical coding for topic mining and document clustering.
Parvin AhmadiIman GholampourMahmoud TabandehPublished in: Adv. Data Anal. Classif. (2018)
Keyphrases
- document clustering
- text mining
- topic extraction
- topic models
- topic modeling
- document set
- topic detection
- text documents
- document representation
- negative matrix factorization
- clustering method
- automatic summarization
- text analysis
- latent dirichlet allocation
- clustering algorithm
- document similarity
- web mining
- document corpus
- knowledge discovery
- document collections
- document clusters
- document classification
- k means
- sparse representation
- cluster analysis
- information retrieval
- data mining
- related documents
- latent semantic space
- tolerance rough set
- natural language processing
- document level
- text classification
- high dimensional
- artificial intelligence
- machine learning