Application and Research of Text Analysis in Public Digital Model of Energy Industry

Zhangchi Ying, Yuqing Xie, Ke Chen, Jiaqi Wang, Chengxin Zhang
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Abstract

A new text analysis method is proposed and an analysis model based on the power energy industry is designed, and the relevant models are verified by experiments. The method proposed in this paper can extract key influencing factors from the relevant information of the power and energy industry, and can become an important tool in the energy public digital model, which has practical significance.
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文本分析在能源行业公共数字模型中的应用与研究
提出了一种新的文本分析方法,设计了基于电力能源行业的文本分析模型,并通过实验对相关模型进行了验证。本文提出的方法可以从电力和能源行业的相关信息中提取关键影响因素,可以成为能源公共数字模型中的重要工具,具有现实意义。
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