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NLP-LISAC at SemEval-2023 Task 12: Sentiment Analysis for Tweets expressed in African languages via Transformer-based Models

Article scientifique 2023 Anglais

Résumé

This paper presents our systems and findings for SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages.The main objective of this task was to determine the polarity of a tweet (positive, negative, or neutral).Our submitted models (highest rank is 1 and lowest rank is 21 depending on the target Track) consist of various Transformer-based approaches.

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Benlahbib, A., Boumhidi, A. (2023). NLP-LISAC at SemEval-2023 Task 12: Sentiment Analysis for Tweets expressed in African languages via Transformer-based Models. https://doi.org/10.18653/v1/2023.semeval-1.28

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Auteur(s)

Abdessamad Benlahbib Achraf Boumhidi

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