Data scientists are often tasked with coming up with cross-disciplined, scalable, data-driven solutions to problems. When Gavin Hudgeons, a student in the machine learning track at the DataScience@SMU program, saw the complexity involved in tracking speakers and topics in public meetings, he leveraged his experience from the program to create a tool to help navigate these discussions. The post DataScience@SMU Student Graphs Conversations, TV Scripts and More Using NLP and Data Visualization appeared first on SMU-MDS.

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