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sci-sentiment-classify

Text Classification

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puzzz21 commited on Jun 30, 2023

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@@ -11,9 +11,12 @@ This model is finetuned on Scibert.
 It classifies sentiment of the scientific text based on it's context.
 Here, the context is the sentiment of the author depicted in the sentence.
 There are three classes; postitive, negative and neutral.
-This model outputs following classnames according to the sentiment:
 p = positive
 n = negative
 o = other/neutral
 For finetuning, the publicly available dataset on context identification from Angrosh et al. https://dl.acm.org/doi/10.1145/1816123.1816168 is used.

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