A web server obtains URL data for an electronic resource about an entity, and scrapes content data about the entity from the resource. A content processor tokenizes the content data, generates token count data, and stores the token count data in one or more data storage devices. A predictive model processor applies the token count data to a trained predictive model trained to generate first data indicative of at least one industrial classification applicable to the entity and second data indicative of a likelihood the first data is applicable to the entity. The web server is configured to provide, by the communications device to a user device and responsive to application of the trained computerized predictive model to the token count data, a display including the first data and second data.