Which linguistic analysis technology has revolutionized retail analytics by enabling sentiment analysis across multiple languages with contextual understanding?

In the world of retail, language analysis has become a crucial component of customer analytics. Modern retailers use sophisticated linguistic technologies to parse customer feedback, social media mentions, and product reviews. This poll explores how language processing is revolutionizing retail analytics and helping businesses understand their customers better.

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Transformer-based NLP models (like BERT and GPT)
Traditional keyword-based sentiment dictionaries
Basic machine translation algorithms
Simple word frequency counters