地址模糊匹配在电力企业应用中的研究与实践

摘要:

地址识别作为大数据应用中自然语言处理的重要场景之一,是重要且极具实用价值的技术手段。目前电力企业正在积极推进大数据应用演进进程,使用大数据技术为电力企业发展赋能的需求也愈加旺盛。而电力企业众多数据资产中的地址信息,作为联系设备—客户—企业的核心字段,其分析挖掘价值极高。首先,针对电力企业常见地址信息涉及的业务应用场景进行分析,瞄准需求要点,对核心应用场景的地址识别需求制定提取匹配方法;然后,基于数据样本对地址识别方法的准确性及运行速度进行研究分析,比对算法的实用性;最后,对算法进行了总结,并对未来算法的提升方式进行展望,以供电力企业相关业务在实际应用中进行参考。

Abstract:

Address recognition,as one of the important scenarios of natural language processing in big data applications,is an important and highly practical technical means. At present,power enterprises are actively promoting the evolution of big data applications,and the demand of using big data technology to empower the development of power enterprises is also increasing.The address information in many data assets of power enterprises,as the core field of connecting equipment-customer-enterprise,is extremely valuable for analysis and mining. The common address information application scenarios of power enterprises are first analyzed,and aiming at the key points,the extracting and matching methods are formulated for the address recognition requirements of the core application scenes. And based on the data samples,the accuracy and operating speed of the address recognition methods are studied and analyzed,and the practicability of the algorithms is compared. Finally,the algorithms are summarized and the future algorithm improvement methods are prospected,which gives a reference for the practical application to the related businesses of power enterprises.