Information classification method based on genetic algorithm

Abstract

The invention provides an information classification method based on a genetic algorithm. The information classification method comprises the following steps of obtaining to-be-classified information;training an information classification model according to a genetic algorithm, extracting a keyword information set from the to-be-classified information, and the keyword information set comprises atleast one piece of keyword information; matching category information corresponding to the keyword information set according to the keyword information set and a preset corresponding relationship between the keyword information set and the category information; and classifying the to-be-classified information according to the matched category information. According to the information classification method based on the genetic algorithm, the classification processing efficiency is greatly improved, and the analysis period is shortened.

Description

technical field [0001] The invention relates to the field of information classification, in particular to an information classification method based on a genetic algorithm. Background technique [0002] With the development of information classification technology, the information processing department of the unit receives or accumulates a large amount of information every day. Establish a direct correspondence, therefore, cannot be directly retrieved by search engines for extraction. The existing methods for categorizing information usually use a manual method to analyze item by item, which will cost a lot of manpower. At the same time, with the continuous increase in the amount of interactive information, or the continuous increase in the accumulation of related work every day, at this time, if the information needs to be processed with high quality within the same time, it is necessary to increase the processing speed of the staff or invest in it. More human resources, ...

AI Technical Summary

Problems solved by technology

[0002] With the development of information classification technology, the information processing department of the unit receives or accumulates a large amount of information every day. Establish a direct correspondence, therefore, cannot be directly retrieved by search engines for extraction

Existing methods for classifying information are usually manually analyzed one by one, which will cost a lot of manpower and labor.

At the same time, with the continuous increase in the amount of interactive information, or the continuous increase in the accumulation of related work every day, at this time, if the information needs to be processed with high quality within the same time, it is necessary to increase the processing speed of the staff or invest More human resources, but the current method of using human resources is difficult to achieve the same requirements for efficiency and quality, because this kind of classification through artificial intelligence does not guarantee that each staff member has the same recognition of the information category. Knowing, so that there will be a certain degree of difference in the recall rate of information during classification, resulting in a low classification accuracy

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