Which groundbreaking research project is widely credited with establishing the foundations of modern sentiment analysis used in retail?

Sentiment analysis has revolutionized how retailers understand customer feedback and behavior. This technology allows companies to automatically categorize opinions expressed in text as positive, negative, or neutral, providing invaluable insights for product development and marketing strategies. Test your knowledge about the origins of this transformative retail technology that now powers everything from social media monitoring to product review analysis.

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The Stanford Sentiment Treebank (2013) by Socher et al., which created hierarchical sentiment representations for analyzing product reviews
IBM's Watson Tone Analyzer (2006), originally designed to analyze customer service interactions for major retailers
Amazon's Product Review Parser (2008), an internal tool that became the industry standard after being published in an academic journal
The Google Consumer Sentiment Index (2010), which first applied deep learning to classify social media posts about retail products