Address book text classification method and device and electronic equipment

Abstract

The invention provides an address book text classification method and device and electronic equipment, and the method comprises the steps: carrying out the word segmentation of a source address book text according to a preset word segmentation model, carrying out the filtering of a word segmentation result, and calculating the statistical weight of each segmented word in a filtered word segmentation result; obtaining segmented words of which the statistical weights are greater than a preset weight threshold value to serve as primary selected segmented words; performing regularization processing on the primarily selected segmented words according to priori knowledge to obtain selected segmented words; generating a keyword vector list according to the selected segmented word so as to obtaina clustering result related to the keyword vector list; and dividing and sorting the risk levels of the clustering results according to a preset risk label statistical result. According to the method,the address book texts can be classified, risk grade division can be provided, more comprehensive address book portrait information can be obtained in the subdivision fields of marketing, client management, risk control and the like, and effective support is provided for specific services by further combining the risk information.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a text classification method, device and electronic equipment in an address book. Background technique [0002] In the field of information technology, address book text is a relatively common type of information, which is generally obtained legally with the authorization and consent of the user. There are generally multi-dimensional information in the address book, such as social circle, occupation, education level, living habits and so on. However, due to the relatively large subjectivity and randomness when users fill in the address book, there is naturally no possibility of a unified format, and considering that there are a large number of names in the address book, these bring a lot of problems to the use of the address book for risk classification. noise. Many risk classification applications for address books are limited to the matching of limited keywords, and cann...

AI Technical Summary

Problems solved by technology

[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method, device and electronic equipment for address book text classification, which are used to solve the problem of inability to effectively classify address book texts and carry out risk division in the prior art. The problem

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