一种基于大数据分析的AI创作实时监控方法及系统

By constructing semantic feature words and part-of-speech feature word libraries, storing and analyzing AI-generated text in real time, identifying part-of-speech relationship groups, extracting creative style profile block matrices, and calculating style similarity and stability, the problem of difficulty in deeply analyzing creative styles and real-time monitoring in existing technologies is solved, and efficient monitoring of the originality and security of AI creations is achieved.

CN120633645BActive Publication Date: 2026-07-17SHAZHOU PROFESSIONAL INST OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHAZHOU PROFESSIONAL INST OF TECH
Filing Date
2025-06-04
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing AI-based creative monitoring methods are insufficient for in-depth analysis of the intrinsic characteristics of creative styles, lack real-time dynamic tracking capabilities, and cannot effectively distinguish between accidental similarities and persistent stylistic convergence.

Method used

By establishing a semantic feature word and part-of-speech feature word library, storing and labeling AI-generated text in real time, identifying semantic feature words and generating part-of-speech relationship groups based on part-of-speech feature words, constructing a creative style profile matrix, peeling off the profile block matrix through a sliding window of creation time, calculating the style similarity and stability between creative subjects, and generating early warning relationship pairs.

Benefits of technology

It enables real-time monitoring and style analysis of AI creations, effectively identifies similar behaviors among creators and issues warnings, improves the efficiency of monitoring the originality and security of AI-created content, and captures the combination relationship between semantic feature words and part-of-speech feature words as well as deep creative style patterns.

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Abstract

本发明公开了一种基于大数据分析的AI创作实时监控方法及系统,属于数据分析技术领域。建立语义特征词与词性特征词库,实时存储并标记AI创作文本;识别文本中的语义特征词,基于词性特征词分离生成词性关系组,构建创作风格画像矩阵;通过创作时间滑动窗剥离画像分块矩阵,计算不同创作主体在相同时窗内的风格相似度;基于相似度计算创作行为的相似稳定度,以生成预警关系对;本发明实现了对AI创作的实时监控与风格分析,可持续有效识别创作主体间的相似行为并预警,提升AI创作内容的原创性与安全性监控效率,尤其的,本发明能够捕捉语义特征词与词性特征词的组合关系及深层创作风格模式,能够有效区分偶然相似与持续性的风格趋同。
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