AfriSenti

AfriSenti Dataset and SemEval Shared Task.

AfriSenti is an open-source sentiment analysis dataset for fourteen African languages. This project was partly supported by lacuna-fund initiatives.

For more, read the project’s description on the AfriSenti website.

References

  1. AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
    Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Sa’id Ahmad, Meriem Beloucif, Saif Mohammad, Sebastian Ruder, Oumaima Hourrane, Pavel Brazdil, Felermino Dário Mário António Ali, Davis Davis, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, and Steven Arthur
    2023
  2. SemEval-2023 Task 12: Sentiment Analysis forAfrican Languages (AfriSenti-SemEval)
    Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Said Ahmad, Nedjma Ousidhoum, Abinew Ali Ayele, Saif Mohammad, Meriem Beloucif, and Sebastian Ruder
    In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), Jul 2023