Hierarchical Topic Models
method
ID: hierarchicaltopicmodels
Related Papers
Evaluating Unsupervised Hierarchical Topic Models Using a Labeled Dataset
AbstractTopic modeling is a commonly used method for identifying and extracting topics from a corpus of documents. While several evaluation techniques, such as perplexity and topic coherence, have been developed …...
Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling
AbstractHierarchical topic models, which can extract semantically meaningful topics from a textcorpus in an unsupervised manner and automatically organise them into a topic hierarchy, have been widely used to discover …...