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Language & Communication

Why does sentiment analysis on tweets mentioning a brand often misclassify sarcasm?

A)Excessive data skews algorithm training
B)Emoji subtext inverts semantic polarity
C)Character limits introduce phonetic errors
D)Geographic dialects confuse word vectors

💡 Explanation

Emoji subtext inverts the semantic polarity because sarcasm relies on conveying the opposite of what is literally stated, and emojis provide contextual clues for sarcasm detection. Therefore, the sentiment analysis fails to account for this nuance, rather than being misled by dialect or training data, which are less direct indicators.

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