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  First sentiment analysis (with two classes) dataset for Tigrinya language. This train set is constructed automatically while the test set labeled manually.
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- 0 : for negative sentiment
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- 1 : for positive sentiment
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  train size: 49374 (25031 negative and 24343 positive)
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  Please consider citing the paper.
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  @misc{tela2020transferring,
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  title={Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya},
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  author={Abrhalei Tela and Abraham Woubie and Ville Hautamaki},
 
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  First sentiment analysis (with two classes) dataset for Tigrinya language. This train set is constructed automatically while the test set labeled manually.
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+ 1. Negative sentiment labeled as 0.
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+ 2. Positive sentiment labeled as 1.
 
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  train size: 49374 (25031 negative and 24343 positive)
 
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  Please consider citing the paper.
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  @misc{tela2020transferring,
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  title={Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya},
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  author={Abrhalei Tela and Abraham Woubie and Ville Hautamaki},