Expert.ai, on the other hand, uses an older form of A.I., based on encoding human expertise in a knowledge graph, to generate its sentiment analysis, according to Marco Varone, the company’s chief technology officer. The graph is able to identify named entities—such as people, companies and places—better than many neural network-based approaches can, Varone says, and it can better understand complex relationships between words than some large statistical language models.
To guard against bots or other fake accounts potentially skewing its forecast, Expert.ai’s system is trained to weed out social media accounts that seem to only retweet content from other accounts, as bots often do, as well as to identify large number of accounts posting with extremely similar language, Varone s
