Comparative Summarization via Latent Semantic Analysis
The primary focus of this paper is multi-document comparative summarization. At first, the concept of comparative summarization is defined, and then the existing approaches are described. Finally, a new method using LSA (Latent Semantic Analysis) for comparative summarization is proposed.
Keywords: Comparative summarization, contrastive summarization, summarization via LSA
Year: 2012
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Full text [180 kB]Authors of this publication:
Karel Ježek
Phone: +420 377632475
E-mail: jezek_ka@kiv.zcu.cz
WWW: https://cs.wikipedia.org/wiki/Karel_Je%C5%BEek_(informatik)
Karel is the former group coordinator and a supervisor of PhD students working at research projects of this Group.
Michal Campr
E-mail: mcampr@kiv.zcu.cz
WWW: http://home.zcu.cz/~mcampr/
Michal graduated from the University of West Bohemia in 2011, specialized in software engineering. He is interested in text summarization.
Related Projects:
Automatic Text Summarisation | |
| Authors: | Josef Steinberger, Karel Ježek, Michal Campr, Jiří Hynek |
| Desc.: | Automatic text summarisation using various text mining methods, mainly Latent Semantic Analysis (LSA). |