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基于文本挖掘的数字创意人才画像与培养对策研究

游宇

通信与信息技术Issue(6):135-140,146,7.
通信与信息技术Issue(6):135-140,146,7.

基于文本挖掘的数字创意人才画像与培养对策研究

Research on digital creative talent profiling and training strategies based on text mining

游宇1

作者信息

  • 1. 重庆财经学院,重庆 401320
  • 折叠

摘要

Abstract

With the development of the digital economy,the digital creative industry has exhibited new characteristics and require-ments for talent demand.Addressing the core conflict of mismatches between industry and education,this study constructs a digital cre-ative talent profile using text mining and data analysis techniques.By collecting 48,000 job postings from authoritative recruitment web-sites,21 areas of professional knowledge,13 practical skills,and 22 competencies were extracted,identifying a talent profile that highly integrates creativity,technology,and business.Based on this,a talent cultivation framework of"technology empowerment-project-driv-en-interdisciplinary integration"is proposed,supported by the"three-core drive"to foster the"three capabilities"development.An eco-logical talent cultivation system characterized by"deep industry-education integration,dynamic demand response,and continuous itera-tive skill development"is constructed through systematic reform of curriculum structures,teaching methods,and practical platforms in three dimensions.This approach addresses the challenges in cultivating digital creative talent,breaks through the traditional experiential paradigm of talent research,and provides a verifiable analytical framework for optimizing human capital in the digital creative industry.

关键词

数字创意/人才画像/招聘数据/数字内容/文本挖掘

Key words

Cultural creativity/Talent profiling/Recruitment data/Digital content/Text mining

分类

社会科学

引用本文复制引用

游宇..基于文本挖掘的数字创意人才画像与培养对策研究[J].通信与信息技术,2025,(6):135-140,146,7.

通信与信息技术

1672-0164

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