Vytautas Magnus University Research Management System (VDU CRIS)
Use this url to cite publication: https://hdl.handle.net/20.500.12259/110424

Targeted aspect-based sentiment analysis for Lithuanian social media reviews

Type of publication
Straipsnis konferencijos medžiagoje Web of Science ir Scopus duomenų bazėje / Article in conference proceedings in Web of Science and Scopus database (P1a)
Author(s)
AuthorAffiliation
LT
LT
LT
Title
Targeted aspect-based sentiment analysis for Lithuanian social media reviews
[en]
Related publication
Date Issued
Date
2020
Publisher
Amsterdam : IOS Press
Is Referenced by
Extent
p. 32-38
URI
URI
https://www.vdu.lt/cris/bitstream/20.500.12259/110424/2/ISBN9781643681177.PG_32-38.pdf
https://hdl.handle.net/20.500.12259/110424
DOI
Research Area
Socialiniai mokslai / Social sciences (S)
Field of Science
Sociologija / Sociology (S005)
Keywords (en)
Abstract (en)

The paper presents research results for solving the task of targeted aspect-based sentiment analysis in the specific domain of Lithuanian social media reviews. Methodology, system architecture, relevant NLP tools and resources are described, finalized by experimental results showing that our solution is suitable for solving targeted aspect-based sentiment analysis tasks for under-resourced, morphologically rich and flexible word order languages.

Series/Report no.
(Frontiers in artificial intelligence and applications, Vol. 328)
Media Type (COAR)
TextJournalJournal articleResearch article
Language
Anglų / English (en)
Coverage Spatial
Nyderlandai / Netherlands (NL)
File(s)
ISBN (of the container)
9781643681160
ISSN (of the container)
0922-6389
WOS
WOS:000648590800005
Other Identifier(s)
VDU02-000064383
Access Rights
Atviroji prieiga / Open Access
JournalCite ScoreSNIPSJRYearQuartile
Frontiers in Artificial Intelligence and Applications
0.6
0.338
0.155
2020
Q4