Why does a sentiment analysis algorithm assessing online restaurant reviews fail to correctly classify sarcasm?

💡 Explanation

Sentiment analysis fails with sarcasm because semantic inversion causes a contradiction between the literal meaning and the intended sentiment. The algorithm struggles to detect this reversal; therefore, it misclassifies the review, rather than detecting subtle contextual cues or negation effectively.

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