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README.md
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@@ -9,5 +9,5 @@ The model assigns one of four possible labels:
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1 (**positive**): The text describes the UX dimension positively <br />
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2 (**negative**): The text describes the UX dimension negatively <br />
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References
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[1] Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; ... & Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692.
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1 (**positive**): The text describes the UX dimension positively <br />
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2 (**negative**): The text describes the UX dimension negatively <br />
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References <br />
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[1] Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; ... & Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692.
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