Which NLP technique is primarily used by modern retail recommendation systems to understand the emotional context behind customer reviews?

Natural Language Processing (NLP) is transforming retail recommendation systems by understanding customer intent through language. Modern retailers now leverage sophisticated linguistic algorithms to analyze customer queries, reviews, and social media conversations. This enables hyper-personalized recommendations that understand not just what customers have purchased, but what they actually meant when describing their needs. How well do you understand the linguistic technology powering today's most advanced retail recommendation engines?

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Sentiment Analysis
Named Entity Recognition
Syntactic Parsing
Morphological Stemming