Normalization of data for entity matching
Project description
financial-entity-cleaner
The financial-entity-cleaner is a library that is part of the Entity-Matching project developed by OS-Climate Foundation. The main purpose of the financial-cleaner is to provide methods for validation and standardization of data used in the banking industry as to solve the problem of determining if two entities in a data set refer to the same real-world object (entity matching).
Currently, the library provides three main components:
- a validator for banking identifiers (Sedol,Isin and Lei),
- a validator for country information, and
- a cleaner for company's name.
Install from PyPi
pip install financial-entity-cleaner
How to use the library
The following jupyter notebooks teaches how to use the library:
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