Abstract: A method, device, apparatus and computer-readable storage medium for mining an enterprise relationship. The method can include acquiring Internet data of multiple types, identifying enterprise names from the Internet data by an enterprise name identification model, performing data mining to the Internet data in a frequent item mining algorithm to obtain relational degrees among the enterprise names, and according to the relational degrees among the enterprise names, extracting the enterprise relationship from the Internet data by an extractor. A deeper and more comprehensive enterprise relationship can be obtained by performing data mining to Internet data of multiple types by using an enterprise name recognition model. By using the frequent items mining algorithm, enterprises among which there are higher relational degrees can further be obtained, so as to obtain a more accurate enterprise relationship.

Abstract: A method, device, apparatus and computer-readable storage medium for mining an enterprise relationship. The method can include acquiring Internet data of multiple types, identifying enterprise names from the Internet data by an enterprise name identification model, performing data mining to the Internet data in a frequent item mining algorithm to obtain relational degrees among the enterprise names, and according to the relational degrees among the enterprise names, extracting the enterprise relationship from the Internet data by an extractor. A deeper and more comprehensive enterprise relationship can be obtained by performing data mining to Internet data of multiple types by using an enterprise name recognition model. By using the frequent items mining algorithm, enterprises among which there are higher relational degrees can further be obtained, so as to obtain a more accurate enterprise relationship.