Which NLP technique is most commonly used by retailers to analyze customer sentiment from product reviews?

Natural Language Processing (NLP) has revolutionized how retailers understand and respond to consumer behavior. Modern retail algorithms analyze linguistic patterns in reviews, social media, and customer service interactions to personalize shopping experiences. This trivia question explores how language technology influences retail personalization and consumer engagement. Test your knowledge of how linguistics and computational methods are reshaping the retail landscape!

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Sentiment Analysis with deep learning models that identify emotional context and opinion polarity
Syntactic Parsing that focuses primarily on sentence structure and grammar without considering emotional content
Named Entity Recognition that only identifies brand names and product features mentioned in reviews
Word Frequency Analysis that simply counts word occurrences without interpreting emotional context