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Update README.md

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@@ -70,7 +70,7 @@ use the GPU if it's available.
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  ### Sentiment classification
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  Task: Categorize the text into an ordinal class that best characterizes the writer's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred
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- Tweet: Beyoncé resentment gets me in my feelings every time. 😩
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  Intensity Class:
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  >>-3: very negative emotional state can be inferred
 
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  ### Sentiment classification
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  Task: Categorize the text into an ordinal class that best characterizes the writer's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred
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+ Text: Beyoncé resentment gets me in my feelings every time. 😩
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  Intensity Class:
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  >>-3: very negative emotional state can be inferred