LDAViewer: An Automatic Language-Agnostic System for Discovering State-of-the-Art Topics in Research Using Topic Modeling, Bidirectional Encoder Representations From Transformers, and Entity Linking.
Timothy DillanDhomas Hatta FudholiPublished in: IEEE Access (2023)
Keyphrases
- topic modeling
- entity linking
- topic models
- latent dirichlet allocation
- text mining
- text classification
- latent topics
- collaborative filtering
- natural language
- text corpora
- probabilistic topic models
- text documents
- search engine
- text content
- semantic search
- feature extraction
- latent variables
- information retrieval
- probabilistic model
- feature space
- bayesian networks