Contrastive Summarization: Comparing Opinions of Czech Senators

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925836" target="_blank" >RIV/49777513:23520/15:43925836 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Contrastive Summarization: Comparing Opinions of Czech Senators
Original language description
In this paper, we present a novel approach to contrastive summarization, i.e. a specific type of summarization, which aims to compare two documents (or groups of documents) on semantic and also sentiment level. The final output of contrastive summarization is a pair of summaries, depicting what topics are most often discussed with the largest difference in opinions of the authors. We explore the possibilities of combining the latent semantic information with the information about the opinions of the authors. First, we describe related works, which show, that this problem can be approached from many different directions. Next, we present our own algorithm, based on Latent Semantic Analysis, which computes scores for excerpts of the original text and based on these, it chooses best excerpts that should be included into the final summaries. Finally, we present the evaluation of our algorithm, using speeches from Czech senate.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
Journal of Theoretical and Applied Information Technology
ISSN
1992-8645
e-ISSN
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Volume of the periodical
77
Issue of the periodical within the volume
1
Country of publishing house
PK - PAKISTAN
Number of pages
7
Pages from-to
62-68
UT code for WoS article
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EID of the result in the Scopus database
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