Event Title
Analyzing Unstructured Data from Presidential Debates Using SAS Text Mining
About the Speaker
André de Waal received his Ph.D. in theoretical computer science from the University of Bristol during 1994. He spent the next year in Germany and Belgium continuing his research in Logic Programming and Automated Theorem Proving. During 1996 he returned to South Africa to take up his position as lecturer at the School of Computer Science and Information Systems at the then Potchefstroom University for Christian Higher Education (which later became the North-West University), where he was later promoted to Associated Professor. During 1999 he became one of the founder members of the Centre for Business Mathematics and Informatics at the same university. He became responsible for the Data Mining Program in the Centre and shifted his research focus to include Neural Networks and Predictive Modeling. He joined SAS Institute in Cary, NC during December 2010 to take up the position of Analytical Consultant in the Global Academic Program.
Location
Butler Library 210
Start Time
2-12-2016 11:10 AM
End Time
2-12-2016 12:10 PM
Description
SAS Text Miner can be used to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors. A transcript form a recent presidential debate will be analyzed with SAS Text Miner. The results from the analysis will be explained and compared to general comments made in the general media.
COinS
Analyzing Unstructured Data from Presidential Debates Using SAS Text Mining
Butler Library 210
SAS Text Miner can be used to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors. A transcript form a recent presidential debate will be analyzed with SAS Text Miner. The results from the analysis will be explained and compared to general comments made in the general media.
