Identifying Patterns in Natural Language Data: An analysis of the children's TV series "Paw Patrol"
After watching too much Paw Patrol with my two kids I identified a rigid episode structure that, with some work, can answer some deeper questions that about the team dynamics of a children’s television show. For example, “which character volunteers for a task but doesn’t produce any results in the solution”.
We will discuss an approach to identifying patterns in non-relational data, building a small reporting model of natural language data, and answering way too many questions about a children’s television series.
About The Presenter
Sean Gannon is a Senior Consultant on the Nashville team.
DIG IN > Data
Centralized Approach to Data Quality Increases Visibility into Process Bottlenecks for State Agency