Construction and application of automatic recognition model for data business semantics
Aiming at the big difference between word parsing and information extraction of data business state-ments,an automatic semantic recognition system based on Natural Language Processing(NLP)technology was studied.On the basis of the functions of the recognition system,an artificial intelligence module based on Convolu-tional Neural Networks(CNN)algorithm was added to convolve and pool the semantics of the received information data,which greatly improves the difference between data business statement parsing and information extraction.In order to improve the efficiency of semantic recognition,Word segmentation(WS)was further adopted to interpret the received sentences,so as to reduce word ambiguity and reduce the impact on the overall semantic recognition.The test results showed that the accuracy of semantic recognition of data business through this system was more than 90%,which indicates that this research system has strong practicability and superiority in solving semantic rec-ognition problems.
万方数据
维普
