UFAL-ULD at BLP-2023 Task 2 Sentiment Classification in Bangla Text
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475913" target="_blank" >RIV/00216208:11320/23:10475913 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2023.banglalp-1.45/" target="_blank" >https://aclanthology.org/2023.banglalp-1.45/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2023.banglalp-1.45" target="_blank" >10.18653/v1/2023.banglalp-1.45</a>
Alternative languages
Result language
angličtina
Original language name
UFAL-ULD at BLP-2023 Task 2 Sentiment Classification in Bangla Text
Original language description
In this paper, we present the UFAL-ULD team's system for the BLP Shared Task 2: Sentiment Analysis of Bangla Social Media Posts. The Task 2 involves classifying text into Positive, Negative, or Neutral sentiments. As a part of this task, we conducted a series of experiments with several pre-trained sequence classification models -- XLM-RoBERTa, BanglaBERT, Bangla BERT Base and Multilingual BERT. Among these, our best-performing model was based on the XLM-RoBERTa-base architecture, which outperforms baseline models. Our system was ranked 19th among the 30 teams that participated in the task.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
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 First Workshop on Bangla Language Processing
ISBN
979-8-89176-058-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
336-339
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Singapore
Event date
Dec 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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