Aspect-Level Sentiment Analysis in Czech
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43923465" target="_blank" >RIV/49777513:23520/14:43923465 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Aspect-Level Sentiment Analysis in Czech
Original language description
This paper presents a pioneering research on aspect-level sentiment analysis in Czech. The main contribution of the paper is the newly created Czech aspect-level sentiment corpus, based on data from restaurant reviews. We annotated the corpus with two variants of aspect-level sentiment aspect terms and aspect categories. The corpus consists of 1,244 sentences and 1,824 annotated aspects and is freely available to the research community. Furthermore, we propose a baseline system based on supervised machine learning. Our system detects the aspect terms with F-measure 68.65% and their polarities with accuracy 66.27%. The categories are recognized with F-measure 74.02% and their polarities with accuracy 66.61%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for 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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2014, Proceedings of the Workshop
ISBN
978-1-941643-11-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
24-30
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
209 N. Eighth Stree, Stroudsburg, PA 18360, USA
Event location
Baltimore, USA
Event date
Jun 27, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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