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@@ -7,4 +7,13 @@ language:
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  - en
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  pipeline_tag: text-classification
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  ---
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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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  - en
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  pipeline_tag: text-classification
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  ---
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+ This model is finetuned on Scibert.
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+ It classifies sentiment of the scientific text based on it's context.
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+ Here, the context is the sentiment of the author depicted in the sentence.
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+ There are three classes; postitive, negative and neutral.
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+ This model outputs following classnames according to the sentiment:
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+ p = positive
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+ n = negative
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+ o = other/neutral
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+
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+ For finetuning, the publicly available dataset on context identification from Angrosh et al. https://dl.acm.org/doi/10.1145/1816123.1816168 is used.