A Composite Kernel Approach for Detecting Interactive Segments in Chinese Topic Documents.
Yung-Chun ChangChien Chin ChenWen-Lian HsuPublished in: AIRS (2013)
Keyphrases
- document set
- document content
- expert finding
- topic modeling
- keyword extraction
- topic hierarchy
- multi document summarization
- topic specific
- document collections
- topic segmentation
- information retrieval
- textual content
- topic discovery
- chinese text
- web documents
- information retrieval systems
- document clustering
- metadata
- topic models
- text documents
- word frequency
- automatic summarization
- latent topics
- document level
- relevant documents
- user interests
- support vector
- feature space
- news stories
- query topic
- topic detection
- kernel function
- related documents
- focused crawling
- concept space
- document classification
- document retrieval
- text summarization
- latent dirichlet allocation
- document summaries
- vector space model
- interactive retrieval
- writing style
- query terms
- user queries
- text corpora
- kernel methods
- cross document
- focused crawler
- blog posts
- keywords
- retrieval systems