Automated document tagging in a digital management platform

A non-transitory computer readable storage medium comprising computer executable instructions for automatically tagging fields of a target document that when executed by one or more processors causes the one or more processors to perform operations comprising:

• accessing a training set of data comprising documents each with a set of tagged fields within the document, each tagged field corresponding to a portion of the document;
• training a machine learned model using the training set of data, the machine learned model configured to identify, for each of one or more fields within a document, a portion within the document corresponding to the field;
• applying the machine learned model to the target document to identify portions of the target document corresponding to the fields of the target document;
• and
• for each field of the target document:
• identifying text of the target document associated with the identified portion of the target document corresponding to the field;
• performing natural language processing on the identified text to identify a field type of the field;
• and
• automatically modifying viewable content of the target document to include a tag identifying the portion of the target document corresponding to the field and the identified field type of the field, the tag visually indicating to a user to further modify the document within the field.

A computer system for automatically tagging fields of a target document comprising:

• one or more processors;
• and
• a non-transitory computer readable storage medium comprising computer executable instructions that when executed by one or more processors causes the one or more processors to perform operations comprising:
• accessing a training set of data comprising documents each with a set of tagged fields within the document, each tagged field corresponding to a portion of the document;
• training a machine learned model using the training set of data, the machine learned model configured to identify, for each of one or more fields within a document, a portion within the document corresponding to the field;
• applying the machine learned model to the target document to identify portions of the target document corresponding to the fields of the target document;
• and
• for each field of the target document:
• identifying text of the target document associated with the identified portion of the target document corresponding to the field;
• performing natural language processing on the identified text to identify a field type of the field;
• and
• automatically modifying viewable content of the target document to include a tag identifying the portion of the target document corresponding to the field and the identified field type of the field, the tag visually indicating to a user to further modify the document within the field.

A method for automatically tagging fields of a target document, comprising:

• applying a machine learned model trained on pre-tagged documents to the target document to identify portions of the target document corresponding to the fields of the target document, the machine learned model configured to identify, for each of one or more fields within a document, a portion of the document corresponding to the field;
• and
• for each field of the target document:
• identifying text of the target document associated with the identified portion of the target document corresponding to the field;
• performing natural language processing on the identified text to identify a field type of the field;
• and
• automatically modifying viewable content of the target document to include a tag identifying the portion of the target document corresponding to the field and the identified field type of the field, the tag visually indicating to a user to further modify the document within the field.