Research On Food Nutrition Science Information Monitoring System Based On Subject Crawle

At this stage,the public should pay attention to the lack of food nutrition,nutrition education is essential.Moreover,the government has paid more and more attention to this aspect of food nutrition science popularization in recent years,and with the rapid development and wide application of Internet technology,the Popular Science Information of food nutrition has many forms of propaganda on the network media,but the quality is uneven.Along with the lack of people for these information from the public,such online public opinion has gradually spread,and has an impact on society,to the point where regulation has to be stepped up.According to the current need to strengthen the supervision of the information of food nutrition science popularization,this paper designs and realizes the information monitoring system of food nutrition science popularization based on the topic reptile,and carries out the new information monitoring of food nutrition science popularization,to achieve correct guidance,scientific disposal,to ensure the public’s health and nutrition safety.On the basis of the research on the main technologies of the network public opinion analysis system,and in view of the actual demand for such information,this article has carried out the following aspects of work:1.According to the characteristics of food nutrition science information dissemination and lack of supervision to demand analysis,according to the results of the analysis,the architecture of food nutrition Popular Science Information Monitoring System was designed.According to the hierarchy to build,mainly divided into three layers,respectively for food nutrition science information data acquisition layer,core service layer(including food nutrition Data pre-processing and Related Algorithm Implementation),function display layer(display the analysis result of popular science information of food nutrition,including public opinion dynamic,public opinion attribute and so on).According to the design of the system architecture,the data collection,core service and function display modules of the popular science information of food nutrition have been designed,and the corresponding database of the popular science information of food nutrition has been designed,including crawling information table,data source information table and other database tables.2.For the realization of the main functions of the food nutrition science popularization information monitoring system,it is necessary to research and implement the related techniques and Algorithms,including data collection,text clustering,text classification,sentiment analysis and so on.First of all,we need to get the data of food nutrition Popular Science Information Field,and use the topic crawler to get it.The data source of the topic crawler is the website with high public sentiment.The system is mainly: Weibo,Wechat public accounts,Baidu post it,the selection of key words in the popular science of food and nutrition is mainly determined by the nutrition dictionary section,the dietary supplement function,and the words close to the field(fruit,agriculture,etc.).After obtaining the data,it is necessary to pre-process the popular science information of food nutrition,including word segmentation,stop word processing,and so on,the F1 value is a measure of the Algorithm’s strengths and weaknesses.In order to realize the function of topic tracking and detection,we need to use text clustering and text classification algorithm.The algorithms used in text clustering are LDA subject model,K-means,DBSCN.Through the comparison of indexes,DBSCN is more accurate,KNN,Bayes,through the comparison of indicators,naive Bayes more accurate.Therefore,the DBSCN and naive Bayes are applied to the system.In order to realize the function of public opinion attribute of popular science information of food nutrition,text emotion analysis is needed.The algorithms used are LSTM,CNN,RNN.3.Based on the analysis of the information requirement of the popular science of food nutrition,the functional modules of the system are designed and the selection experiment of the algorithm suitable for the system is completed,the Food Nutrition Science Popularization Information Monitoring System based on topic crawler has been completed and realized,including visual display,information management,system management,report form statistics and so on.This system chooses b/s system structure,the foreground uses Layui framework to build,the background uses Spring boot framework,uses Java,Python as development language,Java to implement the system development,and the topic crawler and algorithm design in the system is Python.MySQL is the system database,which is deployed on the same physical server as the site ontology.After the system is developed,the system is tested.The test results show that the system meets the required functional and performance requirements,and can be used to monitor and analyze the basic food nutrition information.The system has been applied in the Institute of food and nutrition development of the Ministry of Agriculture and rural areas.The practice shows that the system can meet the needs of users for monitoring and analyzing the popular science information of food nutrition,be Able to keep abreast of food nutrition related science and technology trends.