Which linguistic analysis technique has been proven most effective for retail sentiment analysis when processing multilingual customer reviews?

The language of retail is constantly evolving as brands seek to connect with customers on a deeper level. Modern retail sentiment analysis tools have transformed how companies understand customer feedback and emotions. This trivia question explores how natural language processing is reshaping the retail landscape and creating more personalized shopping experiences. Test your knowledge of how linguistics and retail technology intersect in today's market!

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Transformers-based deep learning models with contextual embeddings
Rule-based lexicon analysis with predefined sentiment dictionaries
Support Vector Machines (SVM) with bag-of-words features
Hidden Markov Models with part-of-speech tagging