Comparative Summarization via Latent Semantic Analysis

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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Authors of this publication:


Karel Je┼żek


Phone:  +420 377632475, 377632400
E-mail: jezek_ka@kiv.zcu.cz
WWW: http://www-kiv.zcu.cz/~jezek_ka/

Karel is a 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:


Project

Automatic Text Summarisation

Authors:  Josef Steinberger, Karel Je┼żek, Michal Campr, Ji┼Ö├ş Hynek
Desc.:Automatic text summarisation using various text mining methods, mainly Latent Semantic Analysis (LSA).