UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929351" target="_blank" >RIV/49777513:23520/16:43929351 - 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
UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis
Original language description
This paper describes our system used in the Aspect Based Sentiment Analysis (ABSA) task of SemEval 2016. Our system uses Maximum Entropy classifier for the aspect category detection and for the sentiment polarity task. Conditional Random Fields (CRF) are used for opinion target extraction. We achieve state-of-the-art results in 9 experiments among the constrained systems and in 2 experiments among the unconstrained systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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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
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 10th International Workshop on Semantic Evaluation
ISBN
978-1-941643-95-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
354-361
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg
Event location
San Diego, CA
Event date
Jun 16, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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