Financial news stream emergency detection method based on hierarchical clustering
A detection method and news flow technology, applied in finance, unstructured text data retrieval, text database clustering/classification, etc. Issues such as the source of financial news and public opinion dissemination, to achieve the effect of strengthening reputation risk management, good control and introduction of user needs, and preventing public opinion from getting out of control
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[0101] In this embodiment, under the experimental environment of Ubuntu18.04 operating system, Python3 programming environment, Intel Core i7-9700CPU, 32G memory, RTX2070GPU, a large-scale financial news stream data set has been fully tested and verified.
[0102] Such as figure 1 As shown, a hierarchical clustering-based financial news flow burst detection method includes the following steps:
[0103] Step S1: text preprocessing; including:
[0104] Step S11: During the period from December 2019 to August 2020, a total of 129,779 pieces of data involving 2,138 major listed company entities and more than 50 reliable sources of financial news streams were captured through web crawlers; the data content includes time stamps , news title, news content, number of releases, URL address and other information;
[0105] Step S12: remove duplicate news by calculating the title edit distance; remove noise data according to timestamp integrity and whether the URL is accessible;
[010...
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