Analysis of emotion and attention of Weibo archives based on LDA-LSTM algorithm
In order to analyze the public's attention and emotional attitude towards the archives two years after the implemen-tation of the Archives Law,the authors used Python tools and LDA model to extract and cluster the data,hot topics of archives at different times were obtained in this paper;the LSTM model was utilized to obtain the emotional tendency of each file theme and analyzed the reasons for the different emotional tendencies of users.According to the connection between themes,there were four categories of archives projects,such as film and television entertainment files,student-school archives and special archives;all kinds of archives categories had high positive tendency,which indicating the public support and understand the development of ar-chives.For the students with high negative tendency-school archives category,the relevant departments should strengthen the pub-licity and education of archives,protect the public's right to use archives fundamentally,and enhance the archives awareness of the whole society.
attention of archivesLDA-LSTM algorithmemotion analysisSina Weibo
NETL
NSTL
万方数据
