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

In the world of computational linguistics, sentiment analysis tools have revolutionized how companies understand customer feedback. These sophisticated NLP systems can detect nuances in language that reveal deeper insights about consumer opinions. But how well do you understand the technology behind these linguistic marvels? Test your knowledge about the cutting-edge intersection of language processing and retail analytics!

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Negation handling (e.g., detecting 'not good' as negative rather than positive)
Part-of-speech tagging (identifying nouns, verbs, adjectives)
Word count and sentence length analysis
Proper noun recognition (identifying brand and product names)