Arabic text summarization based on latent semantic analysis to enhance arabic documents clustering
Hanane FroudAbdelmounim LachkarSaîd El Alaoui OuatikPublished in: CoRR (2013)
Keyphrases
- text summarization
- latent semantic analysis
- arabic documents
- natural language processing
- document clustering
- information extraction
- clustering algorithm
- named entity recognition
- multi document summarization
- k means
- question answering
- clustering method
- word spotting
- unsupervised learning
- co occurrence
- query expansion
- higher order
- document level
- artificial intelligence
- latent dirichlet allocation
- information retrieval systems
- vector space model
- tf idf
- supervised learning
- search engine