Which natural language processing breakthrough first allowed retailers to accurately analyze customer sentiment at scale from unstructured feedback?

The intersection of language and retail has created fascinating innovations throughout history. From dictionary publishers becoming retail giants to AI-powered language tools reshaping how we shop, linguistic products have their own unique market position. This poll explores a pivotal moment when language technology changed retail customer insights forever. Test your knowledge about this transformative period in retail linguistics!

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Word2Vec embeddings (2013)
BERT (Bidirectional Encoder Representations from Transformers) by Google (2018)
Stanford's GloVe (Global Vectors for Word Representation) (2014)
IBM Watson Natural Language Classifier (2011)