Abstract: Systems and methods in support of digital document analysis receive a data file having a document containing text; determine a document classification for the document and at least one defined external consideration relating to the first document; section the first document into a plurality of sections; for each of the plurality of sections: implement a plurality of classification protocols; and generate one or more signal representations based on the document classification, the at least one defined external consideration, and the implemented plurality of classification protocols; identify one or more potential section classifications for one or more of the plurality of sections based on information relating to a training set of signal representations; determine a relative accuracy of the one or more potential section classifications for one or more of the plurality of sections; and output one or more recommended section classifications for one or more of the plurality of sections.

Abstract: Systems and methods in support of digital document analysis receive a data file having a document containing text; determine a document classification for the document and at least one defined external consideration relating to the first document; section the first document into a plurality of sections; for each of the plurality of sections: implement a plurality of classification protocols; and generate one or more signal representations based on the document classification, the at least one defined external consideration, and the implemented plurality of classification protocols; identify one or more potential section classifications for one or more of the plurality of sections based on information relating to a training set of signal representations; determine a relative accuracy of the one or more potential section classifications for one or more of the plurality of sections; and output one or more recommended section classifications for one or more of the plurality of sections.