Which linguistic analysis technique is MOST commonly used in retail recommendation systems to understand the emotional context behind customer reviews?

Recommendation systems have revolutionized how retailers connect customers with products. But did you know that linguistic analysis plays a crucial role in modern recommendation engines? Natural language processing helps decipher customer reviews, search queries, and product descriptions to create more personalized suggestions. Test your knowledge about how language technology powers the product recommendations you encounter every day!

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Sentiment analysis with aspect-based extraction
Morphological decomposition
Syntactic dependency parsing
Phonological pattern recognition