Concepts in Topics. Using Word Embeddings to Leverage the Outcomes of Topic Modeling for the Exploration of Digitized Archival Collections.
Mathias CoeckelbergsSeth van HoolandPublished in: DIONE (2020)
Keyphrases
- topic modeling
- latent topics
- topic models
- latent dirichlet allocation
- digital libraries
- co occurrence
- probabilistic topic models
- text mining
- information retrieval
- topic extraction
- text classification
- text documents
- probabilistic latent semantic analysis
- n gram
- latent variables
- dimensionality reduction
- collaborative filtering
- pattern recognition
- artificial intelligence