College - Author 1
College of Engineering
Department - Author 1
Computer Science Department
Advisor
Sumona Mukhopadhyay, College of Engineering, Computer Science and Software Engineering Department
Date
10-2025
Abstract/Summary
This project focuses on the use of Natural Language Processing (NLP) techniques to analyze text stimuli used in cognitive research. Specifically, the project involves analyzing text that presents different types of mindsets, such as growth and fixed mindsets, to understand their impact on cognitive state. Students will apply various NLP methods, such as tokenization, text classification, and sentiment analysis, to analyze the language used in different types of mindset stimuli. The goal is to understand how text-based stimuli can influence cognitive responses and to extract meaningful features from the text that can be used to predict outcomes like engagement or cognitive load. Students will gain experience in working with unstructured text data and applying machine learning techniques for text classification, making this an ideal project for students with a background in data science who are interested in the intersection of language and cognition.
October 1, 2025.
Included in
URL: https://digitalcommons.calpoly.edu/ceng_surp/172