Which linguistic technique is MOST commonly used in retail personalization algorithms to identify customer sentiment and preferences from written feedback?

In modern retail, language personalization algorithms analyze customer data to create tailored communications. These systems utilize linguistic patterns, semantic analysis, and natural language processing to optimize messaging for different demographic and psychographic segments. How well do you understand the linguistic technology powering these personalized retail experiences?

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Sentiment analysis with aspect-based extraction
Transformational-generative grammar modeling
Phonological pattern recognition
Morphological decomposition analysis