Zhangchi Ying, Yuqing Xie, Ke Chen, Jiaqi Wang, Chengxin Zhang
{"title":"文本分析在能源行业公共数字模型中的应用与研究","authors":"Zhangchi Ying, Yuqing Xie, Ke Chen, Jiaqi Wang, Chengxin Zhang","doi":"10.1109/ACEEE56193.2022.9851823","DOIUrl":null,"url":null,"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.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application and Research of Text Analysis in Public Digital Model of Energy Industry\",\"authors\":\"Zhangchi Ying, Yuqing Xie, Ke Chen, Jiaqi Wang, Chengxin Zhang\",\"doi\":\"10.1109/ACEEE56193.2022.9851823\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":142893,\"journal\":{\"name\":\"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACEEE56193.2022.9851823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACEEE56193.2022.9851823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application and Research of Text Analysis in Public Digital Model of Energy Industry
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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