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

Domain:

natural language processing

Record type:

paper
Creator:
RonYaa
Publisher:
Ass
Host:

Visit

doi.org

Tasks

sentiment analysistext classification

Similar

DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter DatasetTrinity at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages using Twitter DatasetSeals_Lab at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages, Hausa and IgboUMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African LanguagesTeam ISCL_WINTER at SemEval-2023 Task 12:AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter DatasetUIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages

DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

Trinity at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

Seals_Lab at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages, Hausa and Igbo

UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages

Team ISCL_WINTER at SemEval-2023 Task 12:AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages

Our contribution to the 2023 AfriSenti-SemEval shared task 12: Sentiment Analysis for African Langua