Which linguistic feature is MOST valuable for retail sentiment analysis when processing customer reviews?

In today's data-driven retail environment, understanding customer sentiment through language analysis has become a critical competitive advantage. Retailers use advanced linguistic technologies to parse reviews, social media posts, and customer feedback to gain insights into consumer perceptions. This trivia question explores how modern retailers use language processing to measure and understand customer sentiment at scale.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Negation handling (e.g., detecting 'not good' as negative despite containing 'good')
Proper noun identification (identifying brand and product names)
Part-of-speech tagging (identifying nouns, verbs, adjectives)
Passive voice detection (identifying when actions are received rather than performed)