Expert.ai leverages a knowledge graph that identifies named entities — including people, companies, and places — and attempts to model the relationships between them. The company says its system, which attaches 84 emotional labels to hundreds of thousands of posts from Twitter and other networks, semi-automatically weeds out botlike social accounts. Expert.ai’s algorithm ranks the labels on a scale from 1 to 100 (reflecting their intensity) and multiplies this by the number of occurrences per candidate. At the same time, it classifies emotions as either “positive” or “negative” and uses this to create an index that can compare the two candidates.
How AI predictions fared against pollsters in the 2020 U.S. election
