Which linguistic feature is LEAST valuable for accurate sentiment analysis in retail customer reviews?

In today's data-driven retail environment, understanding customer emotions is crucial for business success. Sentiment analysis tools parse through millions of reviews, social media comments, and customer feedback to extract valuable insights. But how much do you know about the linguistic techniques powering these sophisticated systems? Test your knowledge about the intersection of computational linguistics and retail sentiment analysis with this challenge!

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Syntactic negation markers (e.g., 'not', 'never', 'no')
Word order and sentence structure
Comparative adjectives (e.g., 'better', 'worse', 'improved')
Frequency of proper nouns (names of people or places)