Why does automatic sentiment analysis often fail to accurately classify the emotional tone of tweets containing Internet slang abbreviations (e.g., 'tbh', 'imo')?

💡 Explanation

Sentiment analysis struggles because Internet slang abbreviations undergo rapid contextual semantic drift; the meaning of 'tbh' changes over time and across social groups. Therefore, a fixed lexicon won't capture current usage, rather than reflecting simple substitution or a universally positive association.

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