Which linguistic analysis technique is MOST commonly used by modern retail personalization algorithms to understand customer preferences from written reviews?

Natural Language Processing (NLP) has revolutionized how retailers understand and respond to customer needs. From sentiment analysis of product reviews to personalized marketing messages, linguistic algorithms are reshaping the retail landscape. This poll tests your knowledge about how language technology is being deployed in retail personalization algorithms to create more meaningful customer experiences.

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Sentiment analysis that categorizes emotional tones and attitude
Syntactic parsing that analyzes grammatical structures
Phonological analysis that examines sound patterns
Etymological tracing that identifies word origins