Design And Implementation Of Military Network Public Sentiment Analysis System Based On Machine Learning

Public opinion is the view of most people in some events.Specific in military public opinion,that is to say,the social and political attitudes and values reflected by most of the people in a specific period of time.Due to the advent of the Internet era,social groups and national citizens are more inclined to publish their own political attitude and social demands through the Internet.Therefore,it is of practical significance to monitor and analyze military public opinion in the Internet and grasp the situation of military public opinion,to reduce the unstable factors of the society and to maintain the social image of the army.In order to identify and analyze the military public opinion on the Internet,a military network public opinion analysis system based on machine learning is designed and implemented.By focusing on the crawler,the system collecting the information which related to military public opinion on the Internet.Then,uses web parsing technology to extract the relevant contents of public opinion on the web pages.The system use machine learning algorithms to construct text vectors and extract the topic keyword or emotion of the article,then,establishing the index of public opinion information.Finally,make the monitoring of military public opinion happens.Firstly,it introduces the system background of the article,discusses the practical significance of monitoring and analysis of public opinion,summarizing the research status of military public opinion analysis at home and abroad and introduces the main research content and organization structure of this article.Secondly,it introduces the key technologies of the machine learning military public opinion analysis system,including the focused crawler technology,web page analysis technology,machine learning technology and Natural Language Processing technology.Thirdly,summarizing the system needs,the overall analysis of the system is carried out,the research objectives of the public opinion analysis system are defined,and the core process of the system is introduced.According to the system needs,the military public opinion analysis system based on machine learning is divided into four models,includes military data acquisition module,information retrieval module and text processing module.Block and military public opinion analysis module explains the requirements in detail through use case diagram and use case table.Then,the design and implementation of the system are introduced in detail.First,the whole framework of the system is explained,the cooperative relationship between each module is introduced,and then each module is designed and implemented in detail.The class diagram is used to describe the structure of the module,and the activity of the block is described by the sequence diagram.Finally,the function and performance of the system are tested.The function test uses the test case to test the function of each module.The performance test evaluates the topic recognition and emotion recognition algorithm through accuracy rate,recall rate and F1 value.The development of the Internet provides an opportunity for the monitoring and analysis of public opinion.In the face of the complex military environment at home and abroad,the accurate trend of military public opinion can provide the basis for the formulation of effective military strategic decisions and good policies.The system can collect information and information for military topics,and extract the topic keyword and emotion,and provide a guarantee for the effective monitoring and management of military public opinion.