Multiple Document Summarization Using Principal Component Analysis Incorporating Semantic Vector Space Model.
Om VikasAkhil K. MeshramGirraj MeenaAmit GuptaPublished in: Int. J. Comput. Linguistics Chin. Lang. Process. (2008)
Keyphrases
- vector space model
- semantic similarity
- document summarization
- cosine similarity
- principal component analysis
- semantic information
- semantic features
- tf idf
- information retrieval
- dimensionality reduction
- document representation
- web documents
- vector space
- retrieval model
- average precision
- syntactic analysis
- image classification
- information extraction
- automatic summarization