Power industry standard clause semantic similarity measurement method and system based on comparative learning, medium and equipment

The invention discloses a power industry standard clause semantic similarity measurement method and system based on comparative learning, a medium and equipment in the technical field of computer application, and aims to solve the problem that the actual demand cannot be met in the prior art. Obtaining a to-be-compared power industry standard clause data pair; performing data preprocessing on the to-be-compared power industry standard clause data pair to obtain a processed to-be-compared power industry standard clause data pair; carrying out data coding based on the trained and optimized RoBERTa model to obtain a processed to-be-compared power industry standard term vector pair; calculating the similarity of the processed to-be-compared power industry standard clause vector pairs, and obtaining a similarity score; and according to the similarity score, measuring the semantic similarity between the power industry standard clause data to be compared. According to the method, the working efficiency can be improv