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README.md
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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 : 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},
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