Automated Text Analysis for Consumer Research

2021-2022 Summer
Faculty Department of Project Supervisor: 
School of Management
Number of Students: 

Over the last decade the amount of consumer produced digital text has risen dramatically. Consider tweets, consumer discussions on internet, and product reviews. They could all reveal profound insights to better understand consumer behavior. In this project, we will use text analysis to examine psychological constructs in consumer-produced digital text and understand their art-consumption behavior. 
This project is ideal for students who have strong analytical background and solid coding skills and who have interest in pursuing a graduate degree in a business school.

Related Areas of Project: 
Computer Science and Engineering
Electronics Engineering

About Project Supervisors

Barış Erman Depecik
Faculty of Arts and Social Sciences