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What is Early Trend Prediction in Public Opinion about?

This paper presents an early trend prediction algorithm for public opinion based on the trend similarity of emergency events, utilizing a genetic algorithm optimized BP neural network (GABP). The proposed method improves prediction accuracy and timeliness by clustering historical event data and matching new events to existing categories, achieving a significant reduction in mean square error and absolute percentage error compared to traditional models. Experimental results demonstrate that the algorithm eff

Author

xuzijing1613

Language

EN