1. A computer-implemented method, comprising computer-executable instructions that, when executed by a hardware processor, cause the hardware processor to perform acts of: accessing information related to an event; identifying a named entity and an associated entity attribute from the information related to the event, the associated entity attribute including an entity type and an entity popularity parameter, wherein the entity type includes at least one of an organization, person, or location, and the entity popularity parameter defines at least a popularity of the named entity in the information related to the event; accessing trending information based on the named entity and the associated entity attribute; collecting, by using the trending information, training data for identification of one or more entities in a video related to the event, wherein the training data is image data of at least one entity likely associated with the event; training a model using the training data, to learn features of the one or more entities, while presenting the video; performing recognition processing of the one or more entities in the video to identify the one or more entities while the video is being presented, wherein the recognition processing is performed using the trained model; performing a search to retrieve content relevant to the one or more entities identified by the recognition processing; and presenting, in real-time during presenting of the video, the content relevant to the one or more entities identified.