Which NLP application has most revolutionized how retailers collect and utilize customer feedback for product design?

Natural Language Processing (NLP) has transformed how retailers gather and analyze customer feedback. From sentiment analysis to automated categorization of reviews, linguistic technologies have become crucial in understanding customer needs and improving product design. This poll tests your knowledge of how language technologies are being applied in modern retail environments to enhance customer experience and product development.

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Sentiment analysis that automatically categorizes customer feedback as positive, negative, or neutral
Aspect-based sentiment analysis that extracts specific product features mentioned in reviews and their associated sentiments
Automated translation of customer reviews from multiple languages
Voice-to-text transcription for in-store customer service interactions