Substation flood prevention named entity identification method based on Bert-CRF

The invention belongs to the technical field of transformer substation flood prevention, and particularly relates to a transformer substation flood prevention named entity recognition method based on Bert-CRF. The method comprises the following steps: step S1, acquiring flood prevention text data and marking the flood prevention text data; s2, constructing and training a flood prevention named entity recognition model based on Bert-CRF; and S3, obtaining an optimal entity label by using the model. The transformer substation flood prevention named entity recognition method based on the Bert-CRF solves the problems that in the prior art, flood prevention text data manual labeling efficiency is not high, professional connotation knowledge is rich, and entity recognition is more difficult compared with other texts, and the method is high in recognition accuracy, rapid in recognition, low in cost and high in practicability. The method can be widely applied to named entity identification of transformer ...