Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.
Xiaobao WuAnh Tuan LuuXinshuai DongPublished in: CoRR (2022)
Keyphrases
- topic modeling
- topic models
- short text
- latent topics
- data sparsity
- collaborative filtering
- reinforcement learning
- latent dirichlet allocation
- learning process
- topic detection
- short texts
- text mining
- matrix factorization
- active learning
- opinion mining
- learning algorithm
- text classification
- recommender systems
- natural language