license: apache-2.0
First sentiment analysis (with two classes) dataset for Tigrinya language. This train set is constructed automatically while the test set labeled manually.
- Negative sentiment labeled as 0.
- Positive sentiment labeled as 1.
train size: 49374 (25031 negative and 24343 positive) test size: 4000 (2000 negative and 2000 positive)
For more information on our experiments and results please check our paper:
Title: Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya Link: https://arxiv.org/pdf/2006.07698.pdf Authors: Abrhalei Frezghi Tela, Abraham Woubie,Ville Hautamaki
Please consider citing the paper.
@misc{tela2020transferring, title={Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya}, author={Abrhalei Tela and Abraham Woubie and Ville Hautamaki}, year={2020}, eprint={2006.07698}, archivePrefix={arXiv}, primaryClass={cs.CL} }