@inproceedings{ramanathan-etal-2023-techssn,
    title = "{T}ech{SSN} at {S}em{E}val-2023 Task 12: Monolingual Sentiment Classification in {H}ausa Tweets",
    author = "Ramanathan, Nishaanth  and
      Sivanaiah, Rajalakshmi  and
      S, Angel Deborah  and
      Thanka Nadar Thanagathai, Mirnalinee",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Da San Martino, Giovanni  and
      Tayyar Madabushi, Harish  and
      Kumar, Ritesh  and
      Sartori, Elisa},
    booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.165",
    doi = "10.18653/v1/2023.semeval-1.165",
    pages = "1190--1194",
    abstract = "This paper elaborates on our work in designing a system for SemEval 2023 Task 12: AfriSentiSemEval, which involves sentiment analysis for low-resource African languages using the Twitter dataset. We utilised a pre-trained model to perform sentiment classification in Hausa language tweets. We used a multilingual version of the roBERTa model, which is pretrained on 100 languages, to classify sentiments in Hausa. To tokenize the text, we used the AfriBERTa model, which is specifically pretrained on African languages.",
}

This paper elaborates on our work in designing a system for SemEval 2023 Task 12: AfriSentiSemEval, which involves sentiment analysis for low-resource African languages using the Twitter dataset. We utilised a pre-trained model to perform sentiment classification in Hausa language tweets. We used a multilingual version of the roBERTa model, which is pretrained on 100 languages, to classify sentiments in Hausa. To tokenize the text, we used the AfriBERTa model, which is specifically pretrained on African languages.
Ramanathan, Nishaanth Sivanaiah, Rajalakshmi S, Angel Deborah Thanka Nadar Thanagathai, Mirnalinee
TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa Tweets