Abstract:
The present disclosure provides an entity tag association prediction method, device, system, and a computer readable storage medium. The method includes: determining an entity relationship network, a tag relationship network and an entity tag association network; constructing an entity similarity graph according to the entity relationship network, constructing a tag similarity graph according to the tag relationship network and the entity tag association network, and constructing an entity tag association bipartite graph according to the entity tag association network; extracting an entity feature, and constructing a tag feature according to the tag similarity graph; integrating the entity similarity graph, the tag similarity graph, and the entity tag association bipartite graph into a graph convolutional network to construct a prediction model; inputting the entity feature and the tag feature into the prediction model for training until the model converges, and outputting a prediction result of the prediction model.
Abstract:
A method for matching semantic text data with tags. The method includes: pre-processing multiple semantic text data to obtain original corpus data comprising multiple semantic independent members; determining the degree of association between any two of the multiple semantic independent members according to a reproduction relationship of the multiple semantic independent members in a natural text, determining a theme corresponding to the association according to the degree of association between any two, and thus determining a mapping probability relationship between the multiple semantic text data and the theme; selecting one of the multiple semantic independent members corresponding to the association as a tag of the theme, and mapping the multiple semantic text data to the tag according to the determined mapping probability relationship between the multiple semantic text data and the theme; and taking the determined mapping relationship between the multiple semantic text data and the tag as a supervision material, and matching the unmapped semantic text data with the tag according to the supervision material.
Abstract:
The invention provides an entrusted-authorization system and an entrusted-authorization method. The entrusted-authorization system comprises an accounting system, a switch module and an entrusted-authorization module, wherein the entrusted-authorization module stores entrusted-authorization parameters determined by the accounting system, the switch module is connected with the accounting system and the entrusted-authorization module for transmitting transaction request messages from the client terminal to the entrusted-authorization module for processing in case that the accounting system is unavailable, wherein the entrusted-authorization module verifies the transaction request messages according to the entrusted-authorization parameters; otherwise, the messages are sent to the accounting system for processing. The transaction request messages comprise financial account information, financial mechanism information, transaction initiation mechanism information and transaction amount. With the entrusted-authorization system and entrusted-authorization method of the invention, a normal processing of transaction request can be ensured when the accounting system is unavailable.