An Entity Resolution Primer

My name is Jonathan Armoza and I am a data science intern at Neustar and a PhD candidate in English Literature at New York University. My work focuses on the development of computational text mining and visualization methods in the emerging field of digital humanities. The era of big data has created the need to develop techniques and mechanisms to not only handle large datasets, but to understand them as well. Much of this influx of information is about people, places, and things. Although some of that data is anonymized, there are a number of reasons we might want to understand how to associate those real world "entities" with their data points.