Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models.
Silvia TerragniDebora NozzaElisabetta FersiniEnza MessinaPublished in: Insights (2020)
Keyphrases
- topic models
- latent topics
- text documents
- statistical topic models
- topic discovery
- latent dirichlet allocation
- topic modeling
- latent variables
- lda model
- text mining
- news articles
- co occurrence
- text corpora
- relevance model
- document clustering
- information retrieval
- document collections
- generative model
- language modeling framework
- gibbs sampling
- probabilistic topic models
- latent topic models
- tf idf
- probabilistic model
- retrieval systems
- generative process
- text collections
- document retrieval
- text classification
- natural language processing
- support vector