Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts.
Yiming WangXiming LiXiaotang ZhouJihong OuyangPublished in: EMNLP (Findings) (2021)
Keyphrases
- topic modeling
- short texts
- topic models
- short text
- latent topics
- latent dirichlet allocation
- co occurrence
- topic detection
- text mining
- text classification
- collaborative filtering
- semantic information
- natural language
- semantic similarity
- text documents
- latent variables
- generative model
- probabilistic model
- text corpora
- semantic features
- semantic concepts