Text summarization using topic-based vector space model and semantic measure.
Ramesh Chandra BelwalSawan RaiAtul GuptaPublished in: Inf. Process. Manag. (2021)
Keyphrases
- vector space model
- text summarization
- semantic similarity
- semantic information
- multi document summarization
- automatic summarization
- similarity measure
- named entity recognition
- information extraction
- natural language processing
- information retrieval
- vector space
- tf idf
- web documents
- document representation
- retrieval model
- wordnet
- language model
- document space
- document clustering
- latent semantic analysis
- question answering
- query expansion
- distance measure
- co occurrence
- topic models
- named entities
- document collections
- latent semantic indexing
- low dimensional
- keywords
- high level
- learning algorithm