Clustering with probabilistic topic models on arabic texts: a comparative study of LDA and K-means.
Abdessalem KelaiaiaHayet Farida MerouaniPublished in: Int. Arab J. Inf. Technol. (2016)
Keyphrases
- k means
- probabilistic topic models
- latent dirichlet allocation
- topic models
- clustering algorithm
- clustering method
- text documents
- topic modeling
- data clustering
- information retrieval
- cluster analysis
- document clustering
- spectral clustering
- latent topics
- probabilistic latent semantic analysis
- word sense
- text mining
- generative model
- linear discriminant analysis
- dimension reduction
- pairwise
- text corpora
- feature extraction
- search engine
- latent variables
- expectation maximization
- latent semantic analysis
- face recognition