Research on Semantization of Unstructured Text in Medical Field

抄録

In recent years, with the rapid development of computer technology and the popularity of the Internet, huge information began to emerge in the form of unstructured text in various fields. Faced with such a huge and rapidly growing amount of data, how to quickly and effectively obtain specific knowledge of the real needs out from the mass is a challenge faced by researchers. Researches in medical field are comparative few than other fields. Chinese medical text has its own unique characteristics, and we cannot copy the foreign NLP methods and technologies. This paper presents a method of processing medical unstructured text. The application results show that the proposed methods can effectively process semantization of medical unstructured text.