Dynamic and Static Topic Model for Analyzing Time-Series Document Collections.
Rem HidaNaoya TakeishiTakehisa YairiKoichi HoriPublished in: CoRR (2018)
Keyphrases
- document collections
- topic models
- text corpora
- latent dirichlet allocation
- topic modeling
- information retrieval systems
- text retrieval
- document retrieval
- document clustering
- test collection
- information retrieval
- digital libraries
- text mining
- text documents
- database
- document representation
- probabilistic model
- co occurrence
- scatter gather
- text data
- xml retrieval
- latent topics
- topic detection
- latent topic model
- vector space model
- generative model
- language model
- natural language processing
- knowledge discovery
- learning process
- probabilistic topic models
- machine learning
- data mining