Comparative Summarization via Latent Dirichlet Allocation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43918393" target="_blank" >RIV/49777513:23520/13:43918393 - 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

Comparative Summarization via Latent Dirichlet Allocation

Original language description

This paper aims to explore the possibility of using Latent Dirichlet Allocation (LDA) for multi-document comparative summarization which detects the main differences in documents. The first two sections of this paper focus on the definition of comparative summarization and a brief explanation of using the LDA topic model in this context. In the last three sections, our novel method for multi-document comparative summarization using LDA is presented and also its results are compared with the results of asimilar method based on Latent Semantic Analysis.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

DATESO 2013

ISBN

978-80-248-2968-5

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

80-86

Publisher name

VŠB Ostrava

Place of publication

Ostrava

Event location

Písek

Event date

Apr 17, 2013

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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