Which NLP technique revolutionized retail analytics by enabling companies to accurately identify customer sentiment across multiple languages from unstructured text data?

The intersection of language analysis and retail analytics has transformed how companies understand consumer behavior. Natural Language Processing (NLP) technologies now analyze customer reviews, social media comments, and support interactions to extract valuable insights about product perception, sentiment trends, and emerging language patterns. This poll tests your knowledge about how linguistic analysis is being leveraged in modern retail analytics to drive business decisions.

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Transformer-based language models (like BERT) that understand contextual language nuances
Simple keyword frequency analysis that counts positive and negative words
Grammar-based parsing systems that analyze sentence structure
Phonetic analysis tools that evaluate customer voice recordings