Fecha de publicación: 28/09/2016 Fuente: Wipo "BigData" The invention relates to the field of natural language processing, in particular to an enterprise entity name analysis and identification system. The system comprises a bidirectional recurrent neural network module; the system uses an enterprise name labeling training sample stored in an existing enterprise name database to train a bidirectional recurrent neural network; the bidirectional recurrent neural network identifies enterprise names in to-be-processed texts and extracts names which do not belong to existing enterprise names; the system enables a classification and judgment result of to-be-identified natural language sequences to depend on context information and enables the preparation rate of extraction and judgment to be higher by performing characteristic automatic learning on basic elements of the texts, such as characters, words, punctuation marks and the like, and applying the bidirectional RNN (Recurrent Neural Network); and the system discovers new enterprise entity names through existing data characteristics and has important application values in the field of big data analysis, particularly in the field of data analysis taking enterprises as analysis main bodies.