The invention provides an electric power-oriented domain entity identification method and system. By constructing a power domain entity recognition algorithm, power domain entities in a power domain text can be recognized; according to the method, BIE is adopted to perform training data labeling, a bidirectional long-short-term memory network and a conditional random field are utilized to construct an electric power domain entity recognition algorithm model, algorithm model evaluation is performed through an F value and the like, and the evaluation can be used for electric power entity recognition after meeting service requirements. A bidirectional long-short-term memory network and a conditional random field are adopted to construct a domain entity identification model. The sequence modeling capability of the bidirectional long-short-term memory network is integrated; the method can capture far context information, has the ability of fitting nonlinearity of the neural network, adoptsthe conditional random field to optimize the whole sequence, effectively solves the problem of gradient disappearance or gradient explosion of a traditional recurrent neural network, and provides an important basis for construction of a knowledge graph in the field of electric power.
Electric power-oriented domain entity identification method and system, and storage medium