Which linguistic analysis technique has revolutionized retail sentiment analysis by allowing algorithms to understand the contextual meaning of product reviews rather than just keyword counting?

In the rapidly evolving retail landscape, language and linguistic analysis have become powerful tools for understanding consumer behavior. Retailers now employ sophisticated NLP (Natural Language Processing) technologies to analyze customer reviews, social media posts, and support interactions. This trivia question explores how linguistic data analytics is revolutionizing the retail experience and influencing marketing strategies based on how consumers express themselves.

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Word embedding models (like Word2Vec and BERT)
Syllabic frequency mapping
Phonological pattern recognition
Morphological decomposition analysis