Which linguistic analysis technique has been found to be most effective in accurately detecting customer sentiment in multilingual retail feedback systems?

In the world of retail, understanding the nuances of language in customer feedback can dramatically impact business decisions. Linguistic analysis of reviews, surveys, and social media comments has become a cornerstone of customer analytics. This poll tests your knowledge about how language processing technologies are transforming how retailers interpret and respond to customer sentiment. How well do you understand the intersection of linguistics and retail analytics?

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Transformer-based neural networks with cross-lingual embeddings
Traditional lexicon-based sentiment dictionaries
Rule-based grammatical parsing systems
Statistical n-gram frequency analysis