Transferring Sentiment Cross-Lingually within and across Same-Family Languages

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AHH22QJHV" target="_blank" >RIV/00216208:11320/25:HH22QJHV - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198437325&doi=10.3390%2fapp14135652&partnerID=40&md5=2719fc18f07454cfce40f5288d37e75d" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198437325&doi=10.3390%2fapp14135652&partnerID=40&md5=2719fc18f07454cfce40f5288d37e75d</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app14135652" target="_blank" >10.3390/app14135652</a>

Result language

angličtina

Original language name

Transferring Sentiment Cross-Lingually within and across Same-Family Languages

Original language description

Natural language processing for languages with limited resources is hampered by a lack of data. Using English as a hub language for such languages, cross-lingual sentiment analysis has been developed. The sheer quantity of English language resources raises questions about its status as the primary resource. This research aims to examine the impact on sentiment analysis of adding data from same-family versus distant-family languages. We analyze the performance using low-resource and high-resource data from the same language family (Slavic), investigate the effect of using a distant-family language (English) and report the results for both settings. Quantitative experiments using multi-task learning demonstrate that adding a large quantity of data from related and distant-family languages is advantageous for cross-lingual sentiment transfer. © 2024 by the authors.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences (Switzerland)

ISSN

2076-3417

e-ISSN

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Volume of the periodical

14

Issue of the periodical within the volume

13

Country of publishing house

US - UNITED STATES

Number of pages

21

Pages from-to

1-21

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85198437325