Which company first implemented a sentiment analysis tool that could accurately detect sarcasm in customer reviews through linguistic pattern recognition?

Natural Language Processing (NLP) has transformed how brands understand customer feedback. Different companies have pioneered unique approaches to analyzing linguistic patterns in reviews, social media posts, and customer service interactions. This poll tests your knowledge about a groundbreaking sentiment analysis innovation that changed how language is processed in retail analytics.

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Lexalytics with their Semantria platform, which pioneered contextual sarcasm detection in 2016
IBM Watson with their Tone Analyzer, which added sarcasm detection capabilities in 2018
Amazon Comprehend, which launched their Sarcasm Recognition API for retail analytics in 2017
Google's BERT model, which was the first to incorporate sarcasm detection for retail applications in 2019