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

Karel is a group coordinator and a supervisor of PhD students working at research projects of this Group.

Michal Campr


Michal graduated from the University of West Bohemia in 2011, specialized in software engineering. He is interested in text summarization.

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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).