Comments Based On Short Videos From Mainstream Media Law Analysis And Research

With the rapid development of today's society,especially the widespread use of the Internet and the rapid development of network information technology.Therefore,people actively accept and use the Internet,which inevitably produces a series of network information and data.Therefore,in actual life,we have not only received network information,but also disseminated network information;in addition,we have also become a new producer in the entire process of dissemination,which is also a current development direction.The current online video online reviews are an important manifestation of this trend,and as more and more users comment and interact online,the Internet also records some user information.such as age.region,gender,comment text,Potential information like likes,views,etc.It is also these online reviews and feedback that most truly express the user's opinions,emotions,appeals,likes and dislikes.Compared with general online products,short videos have a higher degree of communication and better acceptance.At the same time,viewers also prefer to post their personal feelings to the corresponding comment area when watching,so as to be People interact and communicate,which generates a lot of comment information.By data mining these massive comments,we can get the information we need:emotional information,viewing rules,user preferences and other important information.This article studies short online reviews of the Central Committee of the Communist Youth League on the current popular video site Bilibili(hereinafter referred to as Station B),writes worm programs,crawls over 20,000 pieces of data,and analyzes them.We found that within three hours of posting the video,the number of comments exceeded 60%;the previous two days accounted for more than 80%.indicating that the short video has a fast propagation speed and short timeliness.The proportion of users' iOS system is much higher than that of the market,indicating that iOS users prefer station B more than Android systems.Verification of the relevance of text parameters,and also meet the Pareto principle.The number of likes is highly correlated with the number of replies,and the number of likes and characters after logarithm change from unrelated to weak.In addition,the number of characters is almost independent of the number of replies.Jieba was selected for the verification of word segmentation,and the word frequency was used for sentiment analysis.The effect was not obvious.Combining with sentiment analysis,we found and verified that sentiment tendencies are positively correlated with the number of likes,and there are two levels of tendencies.A very effective letter came out.Finally,the text is divided into 1,000 lines,which verifies the existence of two polarities,but it is not delicate enough.Therefore,the text is carefully classified,and the analysis shows that there are obvious polarities of more than 30 words;10 to 30 words,the text is mostly positive;within 10 words,neutral is the main,positive is supplemented,because The number of characters is small,the content is few,and the emotion is simple.Therefore,the research in this article will help us understand and master the characteristics of short video communication information,understand the thinking dynamics and trend of public opinion of the young users of station B;and provide substantive and effective information for the video creator Communist Youth League,continuously optimize the short video content,for Our station B creates a better ecological environment.