Walt Mayo, Expert.ai's chief executive officer, said the
company's ability to analyze hundreds of thousands of social media posts in real time gives it "insight into what voters are discussing and how their attitudes are evolving as we get closer to the election." He said the analysis helped the company glean "the issues of most importance to voters and the emotions in social media posts that may drive decision-making at the polls."
Expert.ai's system looked at 500,000 Twitter posts and other social media comments made over the past week. It uses natural language processing, a form of A.I. that can understand aspects of language, to categorize the sentiment being expressed in these social media posts according to 84 different emotional labels.
These labels are then given a rank in terms of their intensity, on a scale from 1 to 100, and are multiplied by the number of occurrences for each candidate. The
emotions are also classified as either "positive" or "negative" and used to create an index that can compare the two candidates against one another.
for their result
no way I would’ve waited.
