Case Studies: NLP/Text Mining with Excel

Recorded On: 10/07/2020


Back to Package

  • Register
    • Non-member - $85
    • Professional Member - Free!
    • Associate Member - $50

    Continue

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:

Complete
Failed
Available
Locked
Case Studies: NLP/Text Mining with Excel
Open to view video.
Open to view video. 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 minin
You must register to access.

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.