Paper Info
Title
Update Summarization Based on Latent Semantic Analysis
Abstract
This paper deals with our recent research in text summarization. We went from single-document summarization through multi-document summarization to update summarization. We describe the development of our summarizer which is based on latent semantic analysis (LSA) and propose the update summarization component which determines the redundancy and novelty of each topic discovered by LSA. The final part of this paper presents the results of our participation in the experiment of Text Analysis Conference 2008.
Year
DOI
Venue
2009
10.1007/978-3-642-04208-9_14
TSD
Keywords
Field
DocType
final part,latent semantic analysis,paper deal,update summarization,multi-document summarization,single-document summarization,text analysis conference,update summarization component,text summarization,recent research,multi document summarization,text analysis
Text graph,Multi-document summarization,Automatic summarization,Latent semantic indexing,Text mining,Information retrieval,Computer science,Redundancy (engineering),Natural language processing,Artificial intelligence,Novelty,Latent semantic analysis
Conference
Volume
ISSN
Citations 
5729
0302-9743
7
PageRank 
References 
Authors
0.77
6
2
Name
Order
Citations
PageRank
josef steinberger135526.95
Karel Ježek21065.38