A big news data-based method and system for monitoring and analyzing a risk perception index, comprising: employing a social risk amplification theory and panic psychology propagation to perform real-time statistics on data in a database according to risk perception index division dimensions and indicators so as to obtain specific values of the indicators; utilizing a neural network model to construct a calculation model of the risk perception index, inputting a corpus, and determining the risk perception index by means of machine learning, matching a weight of each dimension and comprehensively calculating the indicators. On the basis of big data monitoring technology, after collecting the data, the data in the library is further processed, and the concept of social panic is quantified according to the theoretical basis of social and sexual science, so that the risk perception index becomes a measurable indication of the degree of social panic. The present invention may more easily and quickly show the psychological state of a society and guide policy making in all aspects of politics and economy.
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