The invention discloses a
text recognition method and device,
electronic equipment and a medium. According to the invention, the method comprises the steps of: performing entity
feature recognition onthe
target text by using a pre-trained
deep learning model to obtain a candidate name entity
list, and matching the candidate name entity
list with multiple pieces of name information in the enterprise name
library one by one to obtain at least one matching result, thereby taking the candidate name entity, higher than the hit matching rate, in the at least one matching result as a name entity obtained by identifying the
target text. By applying the technical scheme, name entities possibly existing in the text can be extracted by adopting the
deep learning model, a part of entities with identification errors are filtered out by utilizing the filtering
word list to serve as candidate company entities, and the candidate companies correspond to the specific enterprise name libraries by meansof the enterprise name libraries and the enterprise entity mapping tables. Therefore, the problem that the efficiency of extracting the effective name entity from the text is very low in the prior artis avoided.