AI Sentiment Analysis Game Testing Solution
Description
George Mason University
03.20.2024
• Devised a game testing solution that conducts sentiment analysis using generative AI on transcribed user speech and gameplay visuals.
• Product able to read mass data consisting of csv, png, and txt files, dividing data into smaller chunks, and automates
the action of sentiment analysis and saving output files.
• Incorporated Gaussian Radial Basis Function to create overlay visuals of data showing analysis of human emotions over recorded gameplay.