CPC G06F 16/24578 (2019.01) [G06F 16/252 (2019.01); G06F 40/30 (2020.01); G06N 3/08 (2013.01); G06F 3/14 (2013.01)] | 21 Claims |
1. A method for improved state identification and prediction in computerized queries, the method comprising:
generating a model through word embedding;
querying the model using a string to identify semantic matches;
in response to querying the model, identifying a plurality of results comprising the semantic matches;
determining probabilities for the plurality of results that represent semantic strength of the semantic matches;
causing a ranked display of (a) the plurality of results comprising the semantic matches and (b) the probabilities determined for the plurality of results that represent semantic strength of the semantic matches in a graphical user interface (GUI);
electronically aggregating data from a plurality of distinct workflows, the plurality of distinct workflows corresponding to a plurality of entities; and
creating a probability table using the aggregated data, wherein the probability table includes a plurality of probabilities for a plurality of vectors, wherein the plurality of vectors correspond to preceding steps, current steps, and succeeding steps from the plurality of distinct workflows, and wherein each of the plurality of probabilities corresponds to a calculated likelihood of a preceding step and a succeeding step relative to a current step, for each step within each of the plurality of distinct workflows.
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