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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- sw |
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--- |
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## Sentiment Analysis Data for the Swahili Language |
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**Dataset Description:** |
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This dataset contains a sentiment analysis dataset from Muhammad et al. (2023). |
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**Data Structure:** |
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The data was used for the project on [improving word embeddings with graph knowledge for Low Resource Languages](https://github.com/pyRis/retrofitting-embeddings-lrls?tab=readme-ov-file). |
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**Citation:** |
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```bibtex |
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@inproceedings{Muhammad2023AfriSentiAT, |
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title={AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages}, |
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author={Shamsuddeen Hassan Muhammad and Idris Abdulmumin and Abinew Ali Ayele and Nedjma Ousidhoum and David Ifeoluwa Adelani and Seid Muhie Yimam and Ibrahim Sa'id Ahmad and Meriem Beloucif and Saif Mohammad and Sebastian Ruder and Oumaima Hourrane and Pavel Brazdil and Felermino D'ario M'ario Ant'onio Ali and Davis Davis and Salomey Osei and Bello Shehu Bello and Falalu Ibrahim and Tajuddeen Gwadabe and Samuel Rutunda and Tadesse Belay and Wendimu Baye Messelle and Hailu Beshada Balcha and Sisay Adugna Chala and Hagos Tesfahun Gebremichael and Bernard Opoku and Steven Arthur}, |
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year={2023} |
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} |
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@article{muhammad2023semeval, |
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title={SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)}, |
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author={Muhammad, Shamsuddeen Hassan and Abdulmumin, Idris and Yimam, Seid Muhie and Adelani, David Ifeoluwa and Ahmad, Ibrahim Sa'id and Ousidhoum, Nedjma and Ayele, Abinew and Mohammad, Saif M and Beloucif, Meriem}, |
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journal={arXiv preprint arXiv:2304.06845}, |
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year={2023} |
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} |
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``` |
