Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning.
Xin GaoYang LinRuiqing LiYasha WangXu ChuXinyu MaHailong YuPublished in: ICDE (2024)
Keyphrases
- topic modeling
- topic models
- latent dirichlet allocation
- topic extraction
- prior knowledge
- probabilistic topic models
- modeling framework
- neural network
- supervised learning
- learning algorithm
- latent topics
- learning process
- text classification
- text documents
- text corpora
- hierarchical bayesian model
- unsupervised learning
- latent variables
- action recognition
- text mining
- reinforcement learning
- training data
- feature selection
- machine learning
- real world