How do you scale up entity resolution for large and complex datasets and domains?
Entity resolution (ER) is the task of identifying and linking records that refer to the same real-world entity, such as people, products, or organizations. ER is essential for data integration, deduplication, and analytics, but it can be challenging to scale up for large and complex datasets and domains. In this article, you will learn some strategies and techniques to tackle this problem using natural language processing (NLP) and machine learning (ML).