Design And Implementation Of Hierarchical Barrage Movie Microsystem

The " barrage" enjoys the greatest popularity as a way to make immediate comments on on-line videos.Users’ positive or negative emotions and attitudes about hot topics can be directly felt while watching the videos with barrage,so the barrage is highly favoured by the younger generation of netizens.Barrage consists of an important part of network subculture,and is also the focus of academic field.The research on the barrage language mainly centres on several aspects like the origin and development,the classification and characteristics,and the standardized barrage language norms.According to various kinds of studies,barrage language is a double-edged sword,which has distinctive features of semantic fragmentation,diversified vocabulary sources and over-casual wording.This has posed a big challenge to the scribblers.To address this problem,a series of mechanisms to regulate and guide the barrage environment should be established.we can nourish the network media literacy,technically upgrade the platform,as well as strengthen the accountability and responsibility of management.As the main body of online video communication and interaction,teenagers should be given more protection and guidance in the aspect of network civilization health.On the one hand,we expect users to fulfill the corresponding obligations according to the user agreements and laws and regulations.On the other hand,we also need to technically curb the source of undesirable factors.This paper describes a film microsystem for classifying and displaying barrage.It is realized by using text grading algorithm of deep neural network,through which the Green Network environment for youth can be guaranteed.This paper contains the following three aspects.Firstly,to study the barrage language.This paper formulates the classification rules of barrage language according to network specifications and law requirements,and classifies the barrage language for mental health of the teenagers.First,the crawler is programmed to crawl the bullet screen in Bilibili website,and then the crawler is graded.Finally,the graded data is used to train the algorithm in this system.Secondly,to construct the film microsystem.Using the existing programming architecture to complete the design of the envisaged film microsystem could ensure the improvement and realization of the main functions.Although called a microsystem,it is still capable of showing films,including its trailers,playing,collection,and comments as barrage.The microsystem described in this paper has been deployed and tested,with asynchronous function,project structure optimization and so on.Thirdly,to complete the algorithm of barrage classification and display.In the basis of the film microsystem,the algorithmic innovation is added.In this paper,the deep neural network technology of machine learning to compile the algorithm of barrage language is used and applied to the film microsystem.Therefore,this algorithm through the first study of the data training in the system could achieve the barrage classification and display to protect teenagers from unhealthy speech technically as much as possible.