|
gptkbp:instance_of
|
gptkb:Statistician
gptkb:test_subjects
|
|
gptkbp:allows
|
Adaptation to Data
|
|
gptkbp:can
|
Infinite Mixture Models
Dynamic Topic Models
|
|
gptkbp:can_be_used_for
|
gptkb:Biology
Information Retrieval
Sentiment Analysis
Content Recommendation
|
|
gptkbp:can_handle
|
Unbounded Number of Topics
|
|
gptkbp:developed_by
|
gptkb:David_M._Blei
gptkb:John_D._Lafferty
gptkb:Lafferty_and_Blei
|
|
gptkbp:has_applications_in
|
gptkb:Natural_Language_Processing
gptkb:machine_learning
Recommendation Systems
Document Clustering
|
|
gptkbp:has_function
|
gptkb:Management
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Bayesian Nonparametric Topic Models
|
|
gptkbp:is_based_on
|
Bayesian Inference
Nonparametric Statistics
|
|
gptkbp:is_challenged_by
|
gptkb:Hyperparameter_Tuning
Scalability Issues
Computational Complexity
Model Interpretability
|
|
gptkbp:is_evaluated_by
|
Perplexity
Coherence Score
|
|
gptkbp:is_explored_in
|
gptkb:Workshops
Conferences
Research Papers
Ph D Theses
|
|
gptkbp:is_implemented_in
|
gptkb:MATLAB
gptkb:Python
gptkb:R
|
|
gptkbp:is_influenced_by
|
Cognitive Science
Neuroscience
Information Theory
Statistical Learning Theory
|
|
gptkbp:is_related_to
|
gptkb:Chinese_Restaurant_Process
gptkb:Latent_Dirichlet_Allocation
Gaussian Processes
Hierarchical Dirichlet Process
Stick-Breaking Process
|
|
gptkbp:is_supported_by
|
gptkb:Markov_Chain_Monte_Carlo
Bayesian Networks
Variational Inference
Approximate Bayesian Computation
|
|
gptkbp:is_used_in
|
Text Mining
Social Media Analysis
Topic Discovery
|
|
gptkbp:provides
|
Flexible Topic Modeling Framework
|
|
gptkbp:bfsParent
|
gptkb:David_Blei
|
|
gptkbp:bfsLayer
|
4
|