JCT at SemEval-2023 Tasks 12A and 12B: Sentiment Analysis for Tweets Written in Low-resource African Languages using Various Machine Learning and Deep Learning Methods, Resampling, and HyperParameter Tuning

Ron Keinan, Yaakov HaCohen-Kerner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, we describe our submissions to the SemEval-2023 contest. We tackled subtask 12 - “AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset". We developed different models for 12 African languages and a 13th model for a multilingual dataset built from these 12 languages. We applied a wide variety of word and char n-grams based on their tf-idf values, 4 classical machine learning methods, 2 deep learning methods, and 3 oversampling methods. We used 12 sentiment lexicons and applied extensive hyperparameter tuning.

Original languageEnglish
Title of host publication17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop
EditorsAtul Kr. Ojha, A. Seza Dogruoz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
PublisherAssociation for Computational Linguistics
Pages365-378
Number of pages14
ISBN (Electronic)9781959429999
DOIs
StatePublished - 2023
Externally publishedYes
Event17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 - Hybrid, Toronto, Canada
Duration: 13 Jul 202314 Jul 2023

Publication series

Name17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop

Conference

Conference17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
Country/TerritoryCanada
CityHybrid, Toronto
Period13/07/2314/07/23

Bibliographical note

Publisher Copyright:
© 2023 Association for Computational Linguistics.

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