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In recent years, with WeChat, microblog, mayor's mailbox and other network political platforms continue to become an important channel for the government to understand public opinion, gather people's wisdom, and condense people's morale. The number of texts of various data has increased sharply. The traditional manual data processing methods have appeared problems such as low efficiency and tedious work. Therefore, it is of great significance to use text analysis and data mining methods to deal with mass messages and improve the efficiency of government. In this paper, based on the records of people's political questions, through some algorithms and some mathematical tools, this paper analyzes the hot areas and hot issues, and gives a set of evaluation scheme for the quality of the reply from the perspective of relevance, integrity and interpretability. Finally, the reliability of the score is verified by various formulas, which shows that the model has high accuracy.

The Text Mining Application of “Intelligent Government Affairs”