ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289429" target="_blank" >RIV/00216208:11320/14:10289429 - 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
ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data
Original language description
This paper describes our submission to SemEval 2014 Task 41 (aspect based sentiment analysis). The current work is based on the assumption that it could be advantageous to connect the subtasks into one workflow, not necessarily following their given order. We took part in all four subtasks (aspect term extraction, aspect term polarity, aspect category detection, aspect category polarity), using polarity items detection via various subjectivity lexicons and employing a rule-based system applied on dependency data. To determine aspect categories, we simply look up their WordNet hypernyms. For such a basic method using no machine learning techniques, we consider the results rather satisfactory.
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/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</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
Proceedings of the Eighth International Workshop on Semantic Evaluation (SemEval 2014)
ISBN
978-1-937284-96-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
694-698
Publisher name
Dublin City University
Place of publication
Dublin, Ireland
Event location
Dublin, Ireland
Event date
Aug 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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