Risk early warning method based on knowledge graph and storage medium
A knowledge map and risk warning technology, applied in the field of financial data analysis, can solve problems such as low prediction accuracy and poor subjective sensitivity, and achieve the effects of comprehensive data analysis, improved accuracy, and reduced operational difficulty
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Embodiment 1
[0040] The embodiment of the present invention provides a risk warning method based on knowledge graph, such as figure 1 As shown, in this embodiment, steps S1-S6 are included:
[0041] S1. Obtain financial heterogeneous information and perform unified information processing according to preset strategies, and integrate multiple copies of corresponding structured data, including steps S11-S12:
[0042] S11. Obtain financial heterogeneous information through market acquisition and / or web crawlers;
[0043] In this embodiment, heterogeneous financial information includes time series data and text information; wherein, time series data includes stock transaction data; text information includes industry news, event information, policy information, and individual stock company announcement information and website announcement information.
[0044] S12. Use information extraction technology to process financial heterogeneous information, obtain industry information and other basic ...
Embodiment 2
[0069] The embodiment of the present invention also provides a storage medium on which a computer program is stored, and the computer program is used to realize the risk warning method based on the knowledge graph provided in the first embodiment above. Wherein, the storage medium may be a magnetic disk, an optical disk, a read only memory (Read Only Memory, ROM), or a random access device (Random Access Memory, RAM), and the like.
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