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The multidimensional data analysis system designed for scientific and technological achievement transformation significantly boosts success rates. It evaluates regional transformation capability using models based on time, geography, industry, and technology. By applying named entity recognition and large-scale multi-label text classification, the system assigns industry labels to enterprises. This enables multidimensional data queries and statistical analysis, aiding technology intermediaries. Practically applied in Kunshan, it effectively analyzes transformation abilities. Related technologies show broad prospects in text classification. Future optimizations include diversified data models, product expansion, and classification method refinements.

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Research on the Application and Optimization of Multi Dimensional Data Model Based on Kylin in Enterprise Technology Management

  • 会议论文

  • 发表日期：

    2025年

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  • Yiru Zhang

摘要

The multidimensional data analysis system designed for scientific and technological achievement transformation significantly boosts success rates. It evaluates regional transformation capability using models based on time, geography, industry, and technology. By applying named entity recognition and large-scale multi-label text classification, the system assigns industry labels to enterprises. This enables multidimensional data queries and statistical analysis, aiding technology intermediaries. Practically applied in Kunshan, it effectively analyzes transformation abilities. Related technologies show broad prospects in text classification. Future optimizations include diversified data models, product expansion, and classification method refinements.