Case Studies: NLP/Text Mining with Excel
Recorded On: 10/07/2020
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Natural Language Processing for Text Analytics
Pavel Rutherford, Associate Director of Prospect Management and Analytics, Santa Clara University; Adarsh Salapaka, Student Assistant – Prospect Management and Analytics, Santa Clara University
The Prospect Management and Analytics team at Santa Clara University is analyzing communications with its constituents to measure what truly matters to them. This is being accomplished by understanding the sentiment from their responses to various marketing campaigns. In leveraging Natural Language Processing (NLP), we have identified a way to infer where a prospect actually resides in the cultivation cycle and how to optimize their overall cultivation.
Not All Heroes Wear Capes: Text Mining for Philanthropic Interests with Excel
Rachel Veron, Ph.D., Director of Analytics, LSU Foundation
An easy first-step into prospecting for a new fundraising project is scouring the information your organization has stored in contact reports. But how can we do this with super-human speed? Enter fundraising analytics and text mining. Join Rachel Veron, Director of Analytics at the LSU Foundation, to learn about a collaborative special project led by Analytics at the LSU Foundation that developed a text mining system.
This session is part of the Data Science Now 2020 Bundle.
Key:
Pavel Rutherford
Associate Director, Prospect Management & Analytics
Santa Clara University
Pavel Rutherford is a campaign strategist with 14 years of experience in the realm of prospect development and analytics. He presently works as an Associate Director of Prospect Management and Analytics at Santa Clara University where he is involved in establishing the use of Deep Learning and AI. He attended Southern Adventist University where he studied music (viola performance) and Spanish. Pavel completed his MBA at La Sierra University. His master’s thesis is focused on measuring the factors that increase resonance between a brand and its audience/customers.
Adarsh Salapaka
Student Assistant – Prospect Management and Analytics
Santa Clara University
Rachel Veron
Social Scientist Fundraising Analytics
LSU Foundation
Rachel Veron is a social scientist who directs fundraising analytics for LSU. Rachel has worked for 15 years on public policy issues ranging from poverty and child welfare to economic development and workforce to higher education advancement. In her role leading a small, start-up analytics shop at the LSU Foundation, she has focused on applying data and analysis to improving data quality, forecasting, and executive reporting and building new data products and evaluation frameworks for prospecting, fundraising, and stewardship programs. She loves to chat methods, data viz, and data ethics. Rachel lives in Baton Rouge and finds joy in family adventures with her daughter Carolyn and partner Evan.