押品标准化

押品标准化是依托房讯通海量的房地产地址数据库，针对银行业务系统所登记的押品地址数据，进行纠错、补全、归一、结构化、标签化等NLP处理清洗，实现地址库的标准化。

Collateral standardization utilizes Fangxuntong's massive real estate address database to perform NLP-based processing and cleaning on collateral address data registered in banking business systems, including operations such as error correction, completion, normalization, structuring, and labeling, thereby achieving the standardization of the address database.

搜集汇总

背景与挑战

背景概述

押品标准化数据集依托房讯通的房地产地址数据库，对银行业务系统中的押品地址数据进行NLP处理清洗，实现地址库的标准化。数据集覆盖全国，数据存储大小为67 GB，更新频率为实时。