The invention relates to the technical field of refueling
machine calibration, in particular to a batch right protection case intelligent filing
system and method based on multi-
source data analysis, and the method comprises the steps: collecting right protection case data from a multi-source channel, marking key information to construct a
data set, training a model through a
convolutional neural network, and extracting related information in a text; distributing a
unique identifier for an entity, associating data to form a case portrait, constructing a
knowledge graph, and calculating a probability through the Bayesian theorem to determine a case type; various right protection case filing rules and legal regulations are collected, classified and sorted to be used for automatically auditing case information, integrating the case information, rule judgment and prediction results, and providing a basis for generation of a filing strategy; and integrating case information conforming to case filing conditions, automatically filling a document template to generate a case filing
application document, and submitting an online case filing application to a court case filing
system through an AP I interface. The method covers all types of evidences such as contracts, audios and videos, chat records and the like, and avoids case filing blocking caused by evidence missing.