1. A system for predicting user text input in an electronic environment, comprising: one or more device processors; and a memory device including instructions that, when executed by the one or more device processors, cause the system to: receive, over a communications network, the user text input; access a text repository storing a plurality of text items classified according to a Bayesian network; infer one or more input predictions through, at least in part, locating the user text input in the Bayesian network; transmit data, over the communications network, including a suggested text based at least in part on the user text input and the inferred one or more input predictions; receive, over the communications network, an indication of a user override of the suggested text, the user override including one or more entries of a backspace key and replacement user text input; and update a probability of at least one node of the Bayesian network corresponding to the user override, wherein the probability of the at least one node is based at least in part upon an average probability of one or more other nodes of the Bayesian network when the at least one node is a new node of the Bayesian network, the one or more other nodes corresponding to a same intermediary node of the Bayesian network as the at least one node.