Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.
Xiaobao WuAnh Tuan LuuXinshuai DongPublished in: EMNLP (2022)
Keyphrases
- topic modeling
- topic models
- short text
- learning process
- collaborative filtering
- learning algorithm
- data sparsity
- reinforcement learning
- latent topics
- matrix factorization
- text mining
- latent dirichlet allocation
- feature extraction
- text classification
- machine learning
- natural language processing
- supervised learning
- probabilistic model
- short texts