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    <abstract>We describe our work on sentiment analysis for Hausa, where we investigated monolingual and cross-lingual approaches to classify student comments in course evaluations. Furthermore, we propose a novel stemming algorithm to improve accuracy. For studies in this area, we collected a corpus of more than 40,000 comments—the Hausa-English Sentiment Analysis Corpus For Educational Environments (HESAC). Our results demonstrate that the monolingual approaches for Hausa sentiment analysis slightly outperform the cross-lingual systems. Using our stemming algorithm in the pre-processing even improved the best model resulting in 97.4% accuracy on HESAC.</abstract>
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%0 Conference Proceedings
%T Sentiment Analysis for Hausa: Classifying Students’ Comments
%A Rakhmanov, Ochilbek
%A Schlippe, Tim
%Y Melero, Maite
%Y Sakti, Sakriani
%Y Soria, Claudia
%S Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F rakhmanov-schlippe-2022-sentiment
%X We describe our work on sentiment analysis for Hausa, where we investigated monolingual and cross-lingual approaches to classify student comments in course evaluations. Furthermore, we propose a novel stemming algorithm to improve accuracy. For studies in this area, we collected a corpus of more than 40,000 comments—the Hausa-English Sentiment Analysis Corpus For Educational Environments (HESAC). Our results demonstrate that the monolingual approaches for Hausa sentiment analysis slightly outperform the cross-lingual systems. Using our stemming algorithm in the pre-processing even improved the best model resulting in 97.4% accuracy on HESAC.
%U https://aclanthology.org/2022.sigul-1.13/
%P 98-105

Markdown (Informal)

[Sentiment Analysis for Hausa: Classifying Students’ Comments](https://aclanthology.org/2022.sigul-1.13/) (Rakhmanov & Schlippe, SIGUL 2022)

• Sentiment Analysis for Hausa: Classifying Students’ Comments (Rakhmanov & Schlippe, SIGUL 2022)

ACL

• Ochilbek Rakhmanov and Tim Schlippe. 2022. Sentiment Analysis for Hausa: Classifying Students’ Comments. In Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages, pages 98–105, Marseille, France. European Language Resources Association.