Stance detection in online discussions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43930541" target="_blank" >RIV/49777513:23520/16:43930541 - 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

Stance detection in online discussions

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. Our approach is based on a maximum entropy classifier, which uses surface-level, sentiment and domain-specific features. The system was originally developed to detect stance in English tweets. We adapted it to process Czech news commentaries

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

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

Proceedings in Informatics and Information Technologies, WIKT &amp; DaZ 2016 - 11th Workshop on Intelligent and Knowledge Oriented Technologies, 35th Conference on Data and Knowledge

ISBN

978-80-227-4619-9

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

211-214

Publisher name

Nakladatelstvo STU Bratislava

Place of publication

Bratislava

Event location

Smolenice

Event date

Nov 3, 2016

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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