The invention discloses an intelligent government affair file classification and retrieval
system, and belongs to the technical field of
file management and information. Aiming at the problems that a traditional government affair
file management mode is low in efficiency and high in error rate, and an existing general
file management system is insufficient in
security management and control in the aspect of government affair file management, low in retrieval accuracy and the like, intelligent classification is performed by adopting a CNN and RNN combined
deep learning architecture, and accurate retrieval is realized through a word vector model and an attention mechanism. The
system constructs a
knowledge graph in the government affair field to provide
intelligent decision support, designs a multi-level authority
management system to guarantee file security, has a real-
time data updating and self-learning mechanism, and can adapt to rapid updating of government affair knowledge. Compared with the prior art, the system has the remarkable advantages in the aspects of classification and retrieval efficiency, accuracy, safety, compatibility, intelligent expansibility and the like, intelligence, high efficiency and
standardization of government affair file management can be achieved, and the complex requirements of government affair office are met.