Cross-lingual Flames Detection in News Discussions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43949736" target="_blank" >RIV/49777513:23520/17:43949736 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.26615/978-954-452-049-6_089" target="_blank" >http://dx.doi.org/10.26615/978-954-452-049-6_089</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.26615/978-954-452-049-6_089" target="_blank" >10.26615/978-954-452-049-6_089</a>
Alternative languages
Result language
angličtina
Original language name
Cross-lingual Flames Detection in News Discussions
Original language description
We introduce Flames Detector, an online system for measuring flames, i.e. strong negative feelings or emotions, insults or other verbal offences, in news commentaries across five languages. It is designed to assist journalists, public institutions or discussion moderators to detect news topics which evoke flames. We propose a machine learning approach to flames detection and calculate an aggregated score for a set of comment threads. The demo application shows the most flaming topics of the current period in several language variants. The search functionality gives a possibility to measure flames in any topic specified by a query. The evaluation shows that the flame detection in discussions is a difficult task, however, the application can already reveal interesting information about the actual news discussions
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
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
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
ISBN
978-954-452-048-9
ISSN
1313-8502
e-ISSN
neuvedeno
Number of pages
7
Pages from-to
694-700
Publisher name
INCOMA Ltd.
Place of publication
Shoumen, BULGARIA
Event location
Varna
Event date
Sep 2, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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