The incident of Japan's nuclear wastewater discharge to the sea has caused great repercussions on the Internet.It has rapidly expanded and spread to many aspects of society,forming a public opinion event,which has affected social management and even social stability to a certain extent.It can be seen that timely capture of online public opinion,analysis of its characteris-tics,and relevant functional departments taking preventive measures based on this have become urgent problems to be solved.A public opinion monitoring program based on TF-IDF and Word2Vec algorithm has been developed to meet this demand.Firstly,the Weibo content text is cleaned and segmented,and then the TF-IDF algorithm is used to extract Weibo text keywords.Secondly,the keywords are sorted by weight and a word cloud map is generated.Finally,the words are converted into high-dimensional vec-tors and visualized on a two-dimensional plane,providing decision-making basis for public opinion monitoring.
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