Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification

Saurav Aryal, Howard Prioleau

Abstract
The recent release of the AfriSenti-SemEval shared Task 12 has made available 14 new datasets annotated for sentiment analysis on African Languages. We proposed and evaluated two approaches to this task, Delta TF-IDF, and a proposed Language-Specific Model Fusion Algorithm using Language Identification, both of which produced comparable or better classification performance than the current state-of-art models on this task: AfriBERTa, AfroXLMR, and AfroLM.
Anthology ID:
2023.semeval-1.297
Volume:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
2153–2159
Language:
URL:
https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.297/
DOI:
10.18653/v1/2023.semeval-1.297
Bibkey:
Cite (ACL):
Saurav Aryal and Howard Prioleau. 2023. Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2153–2159, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification (Aryal & Prioleau, SemEval 2023)
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PDF:
https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.297.pdf
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