Which language analytics product revolutionized retail personalization by introducing the first commercially successful sentiment analysis engine that could detect sarcasm in customer reviews?

The intersection of linguistics and retail analytics has transformed how companies understand customer preferences. Natural Language Processing (NLP) algorithms now power recommendation engines, sentiment analysis tools, and customer service bots across the retail landscape. This poll tests your knowledge about a groundbreaking product that forever changed how retailers leverage linguistic data for personalization.

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• IBM Watson Tone Analyzer (2015)
• Lexalytics Semantria (2011)
• Google's BERT for Retail (2018)
• Amazon Comprehend (2017)

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