Topic Modeling Revisited: A Document Graph-based Neural Network Perspective.
Dazhong ShenChuan QinChao WangZheng DongHengshu ZhuHui XiongPublished in: NeurIPS (2021)
Keyphrases
- topic modeling
- neural network
- latent topics
- topic models
- topic extraction
- entity linking
- text documents
- relevance ranking
- latent dirichlet allocation
- scientific articles
- text mining
- language modeling framework
- text classification
- information retrieval
- document classification
- web documents
- document clustering
- pattern recognition
- document collections
- lda model
- co occurrence
- probabilistic latent semantic analysis
- text analysis
- retrieval systems
- tag information
- machine learning
- text corpora
- information retrieval systems
- text categorization
- image segmentation
- document retrieval
- probabilistic topic models
- knowledge base
- artificial intelligence
- generative model