Text analytics is a powerful tool in understanding the behavior of customers, particular in public forums such as social media. The lecture will explore a variety of common and emerging techniques of organizing, summarizing, and analyzing unstructured text, from simple word counts and entity extraction to more complex approaches to modeling bias and influence. While the primary focus will be on text analytics concepts and use cases, it will also introduce a number of open source software libraries used in real-world text analytics applications.
Jonathon Morgan is Founder and CEO at New Knowledge, where he leads a team focused on machine learning research, and also the Founder of Data for Democracy, a volunteer collective of data and technology professionals collaborating on social impact projects. As part of his ongoing work investigating online extremist communities, he served as an advisor to the White House and State Department, co-authored the ISIS Twitter Census for the Brookings Institution, and published articles for The Atlantic and Washington Post. Jonathon is also the co-host of Partially Derivative, an unrealistically popular podcast about data science.