Information visualization method and intelligent visual analysis system based on text curriculum vitae information

Abstract

The invention discloses an information visualization method and an intelligent visual analysis system based on text curriculum vitae information. The method comprises the following steps: (1) experience level quantization calculation is performed on experience information in each piece of text curriculum vitae information to obtain growth trajectory sequence data, and the data is visualized; (2) the growth trajectory sequence data of multiple pieces of text curriculum vitae information is selected for correlation calculation to obtain the potential social relation between text curriculum vitaes, and the potential social relation is visualized on a social network; and (3) curriculum vitaes with unit intersection are converted into the organizational hierarchy of corresponding persons in the unit based on the potential social relation between the curriculum vitaes, and the organizational hierarchy is visualized in an organization. Through data mining and the information visualization technology, the spatio-temporal growth experience of a person represented by a curriculum vitae can be obtained, the potential social relation between persons can be found, and the organizational hierarchy of the persons can be restored, thus obtaining the deep cognition of the group growth model and the social relation.

Description

technical field [0001] The invention belongs to the field of computer application technology, and relates to an intelligent visual analysis system and an information visualization method based on text history information. Background technique [0002] Resume information is a kind of information summarizing personal experience, which exists in the resume data, mainly including personal basic information and a brief description of personal experience data. Basic personal information includes name, gender, date of birth, ethnicity, education level, political affiliation, religious belief, main family members, main social relations, marriage and personal health status, etc. As an important content of resume, personal experience usually includes personal past learning experience, employment experience, etc. [0003] As an important basis for personnel evaluation, personal resume data reflects the past behavior and current ability of the individual from many aspects. History ana...

AI Technical Summary

Problems solved by technology

[0007] However, the existing CVAS still has the following shortcomings: (1) The current system is not suitable for the analysis of unstructured resume data

Unstructured resumes are usually stored in plain text (such as txt, word, pdf, etc.), and the format is not uniform and varies greatly, so it is difficult to directly apply to the current CVAS

In other words, the current CVAS lacks the ability to convert unstructured resumes into structured resumes

(2) The analysis capability of the current system is mainly reflected in the qualitative analysis and quantitative calculation under simple rules (such as resume screening and scoring) and statistical management (such as generating resume information reports), while ignoring the potential patterns contained in the resume Intelligent mining and intuitive visual analysis, especially ignoring the mining of personal growth patterns from resumes and the intuitive visualization of growth patterns, which cannot help users complete some complex tasks, such as semantic-based resume search and classification, personnel appointment and dismissal recommendations , career planning, etc.

(3) The current system only analyzes a single resume in isolation, ignoring the correlation between resumes

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