1. A system for training a neural network via live stream concept association, the system comprising: a computer system that comprises one or more processors programmed with computer program instructions that, when executed, cause the computer system to: receive, via a user interface, at least a portion of a live video stream, the user interface loading the live video stream on the user interface for presentation to a user; process, via the neural network, one or more portions of the live video stream to generate a set of predicted concepts, the set of predicted concepts comprising one or more predicted concepts; cause the one or more predicted concepts to be displayed on the user interface during the presentation of the live video stream; receive, via the user interface, a user selection related to a frame of the live video stream during the presentation of the live video stream on the user interface, the user selection indicating a presence of a concept of the one or more predicted concepts in the frame of the live video stream, the user selection being a selection of the concept by the user; determine an association of at least a portion of the frame of the live video stream with the concept responsive to the user selection related to the frame; determine a pressure level applied by the user on the user interface during the user selection related to the frame; and determine a confidence value for the presence of the concept in the frame of the live video stream based on the pressure level such that (i) the confidence value is a first confidence value responsive to the pressure level being a first pressure level and (ii) the confidence value is a second confidence value different than the first confidence value, responsive to the pressure level being a second pressure level, wherein the neural network is trained based on the association of at least the portion of the frame with the concept and (ii) the determined confidence value.