College - Author 1

College of Engineering

Department - Author 1

Computer Science Department

College - Author 2

College of Engineering

Department - Author 2

Computer Science Department

Advisor

Dr. Zoe Wood (Co-Pl), College of Engineering, Computer Science Department; Dr. Sumona Mukhopadhyay (Pl), College of Engineering, Computer Science Department

Funding Source

CENG Dean's Club for Innovation DEI Funding

Date

10-2023

Abstract/Summary

Every year, the College of Engineering (CENG) students and faculty reach out to admitted students through “Text-a-Thon” programs to answer their questions about being a student at Cal Poly. In order to improve CENG outreach efforts, we analyzed these text conversations to predict the likelihood of an admitted student accepting an offer of admission from Cal Poly. Through our research, we discovered key factors that play a role in a student committing to Cal Poly through data-based insights. Additionally, we successfully used a human-on-the-loop system to help create Machine Learning (ML) models that predict satisfaction of response by way of sentiment analysis.

COinS
 

URL: https://digitalcommons.calpoly.edu/ceng_surp/19

 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.