Evaluation of power equipment suppliers based on intelligent mining of electric power dialogue text

被引：0

作者：

Wang H. ^{[1
]}

Hu J. ^{[2
]}

Xu J. ^{[2
]}

Li J. ^{[3
]}

He B. ^{[1
]}

机构：

[1] College of Electrical Engineering, Zhejiang University, Hangzhou

[2] State Grid Zhejiang Electric Power Company, Hangzhou

[3] Zhejiang Huayun Information Technology Co., Ltd., Hangzhou

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 07期

关键词：

Dialogue text; Electric power equipment; Intelligent text mining; Next sentence prediction; Sentiment analysis; Supplier evaluation;

D O I：

10.16081/j.epae.202104009

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Currently the satisfaction evaluation of power equipment suppliers mainly relies on manual statistics and index calculation, and its accuracy is greatly affected by evaluators and evaluation contents. The dialogue text of the electric power service platform is used as the research object. Taking the dialogue text of power service platform as the research object, the evaluation model of power equipment supplier based on text mining technology is established on the basis of expanding the entries and attributes of the existing electric power ontology dictionary. Firstly, the next sentence predictive analysis method of single-round dialogue text based on BERT(Bidirectional Encoder Representations from Transformers) NSP(Next Sentence Prediction) and cosine similarity weighted is proposed. The dialogue interruption cross-handling process and supplier identification rules are established to realize theme induction of electric power dialogue text. Then, considering the complexity of the semantic sentiment of the dialogue text, the dialogue sentiment analysis rules are proposed for establishing the supplier evaluation model. Finally, the accuracy of the proposed method is verified by an example. Results indicate that the evaluation of power equipment suppliers based on the intelligent mining of dialogue text is feasible and effective, and can be used as a useful supplement to current evaluation methods. © 2021 Electric Power Automation Equipment Editorial Department. All right reserved.

引用

页码：210 / 217

页数：7

共 22 条

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