Which NLP innovation first enabled retailers to automatically analyze customer sentiment at scale, revolutionizing how companies understood product feedback?

Natural Language Processing (NLP) has revolutionized how retailers understand and respond to customer needs. From sentiment analysis of reviews to intelligent chatbots handling customer service, language technology has transformed the retail landscape. This trivia question explores a significant breakthrough in retail linguistics technology that changed how companies analyze customer feedback at scale. Test your knowledge about the intersection of language technology and retail innovation!

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BERT (Bidirectional Encoder Representations from Transformers), developed by Google in 2018
Word2Vec, introduced by Google researchers in 2013
Stanford Sentiment Treebank with recursive neural networks, released in 2013
Amazon Comprehend, launched for public use in 2017