CPC G06V 30/413 (2022.01) [G06F 16/116 (2019.01); G06F 16/54 (2019.01); G06F 16/93 (2019.01); G06N 3/08 (2013.01); G06Q 10/10 (2013.01)] | 21 Claims |
1. A computer-implemented method for scoring an entity, the method comprising the steps of:
accessing a set of documents, each document being associated with an entity identifier, each document being formatted in a text file format;
generating a set of graphical images by converting each document to a corresponding graphical image having a graphical file format;
inputting the set of graphical images into a neural network; receiving, as a first output of the neural network, a score that is assigned to the set of documents; and receiving, as a second output of the neural network, an output image, the output image being generated by modifying a visual characteristic of a region of at least one of the graphical images among the set of graphical images, wherein the region comprises a hotspot indicating an outlier of a metric represented in the set of documents.
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