Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases.
Chao ShenTao LiChris H. Q. DingPublished in: AAAI (2011)
Keyphrases
- probabilistic latent semantic analysis
- multi document summarization
- text summarization
- latent semantic analysis
- multidocument summarization
- visual features
- single document summarization
- co occurrence
- expectation maximization
- cross document
- latent dirichlet allocation
- probabilistic model
- latent semantic
- topic models
- named entity recognition
- scene classification
- latent variables
- natural language processing
- em algorithm
- topic modeling
- negative matrix factorization
- latent topics
- question answering
- information retrieval
- text mining
- object recognition
- artificial intelligence
- unsupervised learning
- clustering algorithm
- keywords
- natural language
- active learning
- document clustering
- clustering method