Multi-Document Summarization Using K-Means and Latent Dirichlet Allocation (LDA) - Significance Sentences.
Shiva TwinandillaSatriyo AdhyBayu SurarsoRetno KusumaningrumPublished in: ICCSCI (2018)
Keyphrases
- multi document summarization
- latent dirichlet allocation
- k means
- topic models
- generative model
- document summarization
- topic modeling
- lda model
- topic discovery
- text summarization
- clustering algorithm
- sentence extraction
- variational bayesian inference
- cluster analysis
- gibbs sampling
- text mining
- latent topics
- latent topic models
- multidocument summarization
- clustering method
- cross document
- expectation maximization
- single document summarization
- document clustering
- variational inference
- co occurrence
- dimensionality reduction