Detecting Stance in Czech News Commentaries

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F17%3A43932729" target="_blank" >RIV/49777513:23210/17:43932729 - isvavai.cz</a>

Alternative codes found

RIV/49777513:23520/17:43932729

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Detecting Stance in Czech News Commentaries

Original language description

This paper describes our system created to detect stance in online discussions. The goal is to identify whether the author of a comment is in favor of the given target or against. We created an extended corpus of Czech news comments and evaluated a support vector machines classifier, a maximum entropy classifier, and a convolutional neural network.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Article name in the collection

ITAT 2017: Information Technologies—Applications and Theory Proceedings of the 17th conference ITAT 2017

ISBN

978-1-974274-74-1

ISSN

1613-0073

e-ISSN

neuvedeno

Number of pages

5

Pages from-to

176-180

Publisher name

CEUR-WS

Place of publication

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Event location

Martinske Hole, SK

Event date

Sep 22, 2017

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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