Which retail analytics innovation first successfully used natural language processing to analyze multilingual customer reviews for sentiment scoring across 27 languages?

In today's digital age, linguistics and language analysis have become powerful tools in retail data analytics. Major companies now employ sophisticated natural language processing (NLP) algorithms to understand customer feedback, analyze trends, and predict consumer behavior. This trivia question tests your knowledge about how language data analytics is revolutionizing the retail landscape through sentiment analysis and customer intelligence.

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• Amazon's Comprehend Retail Suite (2016)
• Google's Shopping Sentiment Analyzer (2018)
• IBM's Watson Retail Assistant (2017)
• Alibaba's Global Customer Voice Platform (2019)

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