Which linguistic analysis technique has revolutionized retail recommendation systems by allowing them to understand the emotional context behind customer reviews?

Modern recommendation engines rely heavily on natural language processing to understand customer preferences and behaviors. Behind the personalized product suggestions you see while shopping online are sophisticated algorithms that analyze linguistic patterns in reviews, search queries, and social media interactions. This poll tests your knowledge about how language processing technologies are transforming retail recommendation systems.

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Sentiment Analysis
Syntactic Parsing
Phonological Processing
Morphological Stemming