Some technology experts believe using artificial intelligence (AI) to gauge voter sentiment could help to better understand the electorate.
Allen Institute for AI CEO Oren Etzioni said, "I would direct [pollsters] to try to leverage machine learning, data mining, and AI in their work more to get better projections."
Heidi Messer with AI and predictive technology provider Collective[i] said polls must use data sources that capture actual behavior, rather than relying on historical classifications and averages.
Italian software company Expert.ai used its natural language processing system to analyze millions of social posts around the U.S. presidential candidates, weighing factors like tone and emotion, and projecting how that might translate into votes; its predictions have closely matched actual results.
Also yielding accurate forecasts is swarm-intelligence software from Unanimous.ai, which aggregates predictions and decisions from groups of people.
From The Wall Street Journal
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