Which linguistic analysis technique is MOST commonly used in modern retail personalization algorithms to understand customer sentiment from review data?

In the evolving world of retail personalization, language analysis has become a crucial component in understanding customer preferences and behaviors. Advanced linguistic algorithms now power many recommendation systems and customer experience platforms, analyzing not just what customers say but how they say it. This poll tests your knowledge about the intersection of linguistics and retail personalization technology.

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Lexical Density Analysis
Named Entity Recognition (NER)
Sentiment Analysis with Natural Language Processing (NLP)
Morphological Parsing