Comparing PSO-based clustering over contextual vector embeddings to modern topic modeling.
Samuel MilesLixia YaoWeilin MengChristopher M. BlackZina Ben MiledPublished in: Inf. Process. Manag. (2022)
Keyphrases
- topic modeling
- topic models
- vector space
- probabilistic latent semantic analysis
- latent dirichlet allocation
- modeling framework
- k means
- clustering algorithm
- tag information
- topic extraction
- clustering method
- text classification
- unsupervised learning
- text mining
- scientific articles
- high dimensional data
- document clustering
- particle swarm optimization
- low dimensional
- dimensionality reduction
- latent variables
- training data
- neural network
- maximum likelihood
- question answering
- language model
- collaborative filtering
- probabilistic model
- pattern recognition
- heterogeneous information networks
- similarity measure
- information retrieval
- real world