Semantic Analysis And Information Extraction Of Diagnosis And Treatment Events Based On Online Reviews

The accuracy of event extraction is related to the depth of text language analysis.The computer's algorithm for vocabulary is relatively simple and operable,but this algorithm does not consider the Chinese semantics to be relevant,and does not reflect relevant descriptions in the algorithm,the knowledge is scattered,and the processing efficiency is not high.Research on semantic analysis has shown that if the algorithm contains semantic analysis,it will have more advantages.Therefore,this article adds semantic level analysis to improve the performance of event extraction and improve the recall and precision of information.The specific research contents are as follows:This article first introduces the research background and significance of online review diagnosis and treatment event extraction and related domestic and foreign research reviews;then extracts the ACE event representation model based on automatic content,and proposes an online review diagnosis and treatment event representation model based on trigger words and argument roles,And explain the model through case analysis;based on the theory of frame semantics,the process of semantic text analysis is introduced,and the semantic classification vocabulary of online review diagnosis and treatment events is established,and the semantic labeling rules are explained;secondly,online review diagnosis and treatment is introduced Event extraction process,including the method and process of event type identification and argument element extraction;according to multiple experiments,it can be seen that the extraction method is feasible;at the end of the article,the research work is summarized and the research highlights and needs are proposed Improvements.The research in this paper has reference value for the research of event extraction in the field of medical text,and has made some contributions to medical assistant decision-making.