Which linguistic phenomenon posed the biggest initial challenge for retail sentiment analysis systems when they were first developed?

Natural Language Processing has transformed how retailers understand customer feedback. Modern sentiment analysis tools can detect not just positive or negative feelings, but also complex emotional nuances, sarcasm, and linguistic variations across different demographics. This technology helps brands make data-driven decisions based on what customers are actually saying across review platforms, social media, and support interactions.

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Sarcasm and irony detection
Regional dialect variations
Grammar error normalization
Multilingual support