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@@ -16,7 +16,7 @@ The vocabulary used to train the model was extracted from a political text corpu
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  - Joohyun Jung ([email protected])
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  - Sinjae Kang ([email protected])
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  - Sunwoo Kwak ([email protected])
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- - Jaewoo Lim ([email protected])
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  ---
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  ## Key Features
@@ -94,7 +94,7 @@ print(predictor.predict("개검독재")) # → very negative
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  ## Citation
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  If you use this code or data in your work, please cite:
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- Jiyoung Park, Sanghyun Park, Eunmi Cho, Minkung Jung, Joohyun Jung, Sinjae Kang, Sunwoo Kwak and Jaewoo Lim
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  "QOD_KPSB: Korean Political Sentiment BERT."
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  GitHub repository: https://github.com/jiyoung-park0/QOD_KPSB
 
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  - Joohyun Jung ([email protected])
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  - Sinjae Kang ([email protected])
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  - Sunwoo Kwak ([email protected])
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+ - Jaeu Im ([email protected])
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  ---
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  ## Key Features
 
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  ## Citation
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  If you use this code or data in your work, please cite:
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+ Jiyoung Park, Sanghyun Park, Eunmi Cho, Minkung Jung, Joohyun Jung, Sinjae Kang, Sunwoo Kwak and Jaeu Im
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  "QOD_KPSB: Korean Political Sentiment BERT."
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  GitHub repository: https://github.com/jiyoung-park0/QOD_KPSB