The invention discloses an AI-based intelligent digital archive editing and research method, and relates to the technical field of
digital archives, and the method comprises the following steps: S1,
source data: archived digital archive attachments in an archive
management system; s2, performing attachment analysis: performing accurate identification and extraction on attachment contents in different formats by adopting an OCR (
Optical Character Recognition) technology, generating structured data of
XML (
Extensible Markup Language),
JSON (
JavaScript Object Notation) and other types, and storing converted text data into a document
library; S3, cleaning the text data, and performing text error correction,
data verification and format adjustment on the analyzed and output text data; and S4, extracting key information in the text, wherein the key information comprises text abstract extraction and text
keyword extraction. Massive archive data are analyzed through
deep mining and intelligent analysis, the thematic direction is accurately grasped, the editing and
research result is automatically generated, the efficiency, quality and creativity of digital archive editing and research are greatly improved, and along with continuous development of the AI technology, the application prospect in the field of digital archive editing and research is wider.