Systems and methods for XBRL tag suggestion and validation

A method implemented on a computer system having one or more processors and memories, comprising:

• receiving an XBRL document associated with one or more assigned XBRL tags;
• analyzing the XBRL document using a trained neural network to generate one or more suggested XBRL tags and determine one or more corresponding confidence values, each suggested XBRL tag of the one or more suggested XBRL tags associated with a confidence value, the trained neural network comprising an input layer, a concatenate layer, and a dropout layer;
• comparing the one or more assigned XBRL tags with the one or more suggested XBRL tags to generate comparison results;
• and
• determining a tag confidence value associated with each assigned XBRL tag of the one or more assigned XBRL tags based on the comparison results.