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This model classifies sentiment of the scientific text based on it's context, i.e text from scientific journals to negative (n), positive (p) and neutrals (o).
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widget:
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- text: >-
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As side benefit, self-attention could yield more interpretable models.
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example_title: Intent Classify
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language:
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- en
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pipeline_tag: text-classification
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This model classifies sentiment of the scientific text based on it's context, i.e text from scientific journals to negative (n), positive (p) and neutrals (o).
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