Short Text Embedding for Clustering Based on Word and Topic Semantic Information.
Ziheng ChenJiangtao RenPublished in: DSAA (2019)
Keyphrases
- semantic information
- short text
- latent topics
- short texts
- topic models
- syntactic information
- topic detection
- latent dirichlet allocation
- short text classification
- wordnet
- topic modeling
- keywords
- semantic concepts
- query words
- text documents
- domain knowledge
- semantic features
- semantic similarity
- xml documents
- bag of words
- co occurrence
- low level features
- metadata
- contextual information
- visual information
- low level
- high level
- semantic relatedness
- vector space
- vector space model
- word sense disambiguation
- data mining
- text mining
- document level
- document clustering
- image classification
- information extraction
- feature selection