Text mining in negative relevance feedback.
Abdulmohsen AlgarniYuefeng LiSheng-Tang WuYue XuPublished in: Web Intell. Agent Syst. (2012)
Keyphrases
- text mining
- relevance feedback
- negative feedback
- information retrieval
- image retrieval
- natural language processing
- positive and negative
- knowledge discovery
- query expansion
- text classification
- feedback information
- biomedical literature
- information extraction
- active learning
- information retrieval systems
- user feedback
- retrieval accuracy
- image search
- document retrieval
- text documents
- textual documents
- feature weighting
- data mining
- user system interaction
- named entities
- machine learning
- web mining
- textual data
- pseudo relevance feedback
- relevant documents
- data analysis
- retrieval framework
- topic models
- positive feedback
- cbir systems
- latent dirichlet allocation
- retrieval model
- text categorisation
- sentiment analysis
- initial query
- query refinement
- low level features
- text clustering