Based on the prediction of social network psychological indicators, this paper studies the analysis model of network users’ personality and psychological characteristics under a high-pressure working environment. Through the analysis of five common network users’ personalities, the characteristics of personality psychology are extracted. Combined with the high-pressure working environment, this paper analyzes the characteristics of network users’ personalities and psychology, collects the characteristics of network users’ personality themes, and analyzes the characteristics of the dynamic extended dictionary. In order to ensure the accuracy of feature analysis, the author’s LDA algorithm is used to predict the network short text psychological index of network users under a high-pressure working environment. The experimental results show that the model designed in this paper is better than the traditional method in practical application.

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