Which groundbreaking invention first made large-scale retail sentiment analysis practically possible in the early 2000s?

Sentiment analysis has revolutionized how retailers understand customer feedback and behavior. This technology, which emerged from the broader field of natural language processing, has become an essential tool for modern retail businesses seeking to gain insights from vast amounts of unstructured data. Test your knowledge about the history and development of this innovative retail technology that bridges the gap between customer emotions and data-driven decision making.

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The MapReduce distributed computing framework developed by Google in 2004
The introduction of IBM's Watson cognitive computing system in 2006
Amazon's patented one-click purchase technology from 1999
Facebook's EdgeRank algorithm released in 2007