Which NLP technique revolutionized retail personalization by allowing systems to understand the contextual meaning of words rather than just statistical patterns?

Natural Language Processing (NLP) has transformed how retailers understand customer needs and optimize experiences. This poll tests your knowledge of how linguistic AI has evolved in the retail sector and its impact on product marketing strategies. From sentiment analysis of customer reviews to personalized shopping experiences, linguistics and AI have merged to create powerful retail tools. How well do you understand this technological revolution?

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Transformer models with attention mechanisms (like BERT)
Traditional TF-IDF vectorization
Rule-based syntactic parsing
Simple bag-of-words sentiment analysis