| Issue |
E3S Web Conf.
Volume 352, 2022
7th International Conference on Energy Science and Applied Technology (ESAT 2022)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 6 | |
| Section | Clean Energy Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202235202006 | |
| Published online | 27 June 2022 | |
Application Research and Simulation Analysis of Power Address Mining Based on Address Fuzzy Matching Algorithm
State Grid Yancheng Power Supply Company, Yancheng, 224005, China
* Corresponding author: JianGuo224005@whu.edu.cn
Address recognition, as one of the important scenarios of natural language processing in big data applications, is an important and extremely practical technical means. Currently, the evolution of big data applications is being actively promoted, and more and more people are using big data technology to empower power address recognition. Address information in many data assets is the core area of connected devices, and the analysis and mining of core algorithms has extremely high value. This paper first analyzes the application scenarios involved in the common address information of electric power, and formulates the extraction and matching method according to the key points of the core application scenarios and the address recognition requirements; then, based on the data samples, the accuracy and calculation speed of the address recognition method are studied, and the Algorithms are analyzed and compared. Practicality; finally summarize the algorithm, and look forward to ways to improve the algorithm in the future.
Key words: Natural language processing / Fuzzy matching / Address recognition / Power / Big data
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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