Emotional Ontology Construction And Query Application Of Medical Online Comments Based On Frame

In the era of big data,more users make comments on social networking services.This subjective emotional message making other consumers more accessible to the information of some service or products.Within the trend of online shopping,online reviews have become an important source to make purchase decisions.Nowadays,the development of medical social media is similar to that of social media in the field of e-commerce.There are also a large number of user-generated subjective texts in medical social media.Users usually have a common goal in publishing these comments,which is to clarify the quality of products or services for other buyers.Among these information,besides factual objective information,subjective information such as opinions and emotions is growing rapidly.More and more users share their comments and feelings about things on the Internet,and the attention of scholars and related industries has been attracted by the increasing number of users and emotional information.Therefore,under the dual background of the rapid development of big data and computer information technology,the application of information technology on processing big data can help and improve medical and diagnostic services in medical field.However,at present,most knowledge bases in the medical field collect objective medical information,which involves less subjective emotional information;in the field of emotional resources,there is no emotional vocabulary and ontology specifically for medical evaluation;therefore,This paper is based on natural language processing and ontology technology to study the acquisition,description,organization and query application of Chinese medical emotional semantic resources.Firstly,this paper summarizes the current research status of medical emotion field at home and abroad,Then make a summary of ontology theory and ontology technology.And by collecting a large amount of medical online comment data;Using sentiment analysis and sentiment annotation based on framework semantics to deal with emotional information from the semanticlayer;According to the data processing results,the medical emotional ontology model is designed and constructed,and the OWL network ontology description language is used to complete the construction of the emotional ontology.In the process of ontology construction,realize the sharing and reuse of medical emotional resources;On the basis of this,the ontology query tool is used to implement multiple semantic retrieval examples based on concepts,attributes and entity comparisons,and the application value of the emotional knowledge ontology is demonstrated.Finally,the paper summarizes the paper and shows the innovation of the paper and the future research direction.This paper provides medical commentary emotional semantic resources for related research,and provides basic technology for medical emotional knowledge sharing and semantic query.