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Witcherses at SemEval-2023 Task 12: Ensemble Learning for African Sentiment Analysis

Domaine:

natural language processing

Type de record:

paper
Créateur:
AssGokMamSri
Éditeur:
Und
Hôte:avatar
This paper describes our system submission for SemEval-2023 Task 12 AfriSenti-SemEval: Sentiment Analysis for African Languages. We propose an XGBoost-based ensemble model trained on emoticon frequency-based features and the predictions of several statistical models such as SVMs, Logistic Regression, Random Forests, and BERT-based pre-trained language models such as AfriBERTa and AfroXLMR. We also report results from additional experiments not in the system. Our system achieves a mixed bag of results, achieving a best rank of 7th in three of the languages - Igbo, Twi, and Yoruba.

Visit

doi.orgunderline.io

Tasks

sentiment analysistext classification

Languages

Yoruba

Tags

MultilingualismNatural Language ProcessingMachine Learning

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