Group intelligence information studying and judging method and system based on AI semantic analysis

Abstract

The invention discloses a group intelligence information studying and judging method based on AI semantic analysis. The method comprises the steps of obtaining and importing group intelligence information; performing AI semantic analysis on the group intelligence information by using a word frequency-reverse file frequency algorithm to obtain sensitive vocabulary statements; analyzing the sensitive vocabulary sentences by using a cosine similarity algorithm, and filtering the sensitive vocabulary sentences; and judging the filtered sensitive vocabulary statements, and performing prevention processing and filing operation according to a judgment result. According to the invention, the sensitive vocabulary statements are analyzed by utilizing the word frequency-reverse file frequency algorithm and the cosine similarity algorithm, most useless information of the group intelligence information can be screened out, and the problems that in the prior art, group intelligence information research and judgment need manual operation, the workload is large, and the automation degree is low are solved. And after the sensitive vocabulary statements are judged, the historical data can be summarized, the research and judgment processing flow can be archived, and closed-loop processing flow display is realized for later historical data lookup.

Description

technical field [0001] The invention belongs to the field of intelligence information research and judgment of public security industry groups. In particular, it relates to a method and system for researching and judging group intelligence information based on AI semantic analysis. Background technique [0002] In order to manage and retrieve chat records of various social software, such as WeChat and QQ chat messages involving sensitive vocabulary, the modern public security industry often uses traditional EXCEL to manually check item by item. However, with the increase of chat records, the uncertainty of chat content keywords, and the unclear process of group intelligence research and judgment, the police who have been working on the front line for a long time are increasingly tired of repetitive tasks. These also show that the group intelligence research and judgment system is not good Intelligence is also becoming more and more obvious, mainly in the following two point...

AI Technical Summary

Problems solved by technology

Moreover, keywords are being updated day by day, and front-line policemen cannot obtain keywords in time, which will lead to low efficiency

For some repetitive and complicated work, there is no good automation and process

[0004] 2. The island of information makes it difficult to establish a complete file. At present, the work is mostly used for sorting out in excel. The historical data is not summarized and the records of the disposal process are not archived. It is difficult to realize a closed-loop disposal process display for future historical data review

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