Document Type
Poster
Publication Title
Northrop Grumman Engineering & Science Student Design Showcase
Abstract
Our goal is to help users quickly understand public opinion on a company or product. The tool is designed for project managers and executives to make smarter decisions based on sentiment trends. We focus on software development feedback, collecting data from Reddit, GitHub, and Bugzilla. Unlike traditional, manual methods, our app uses machine learning (LLMs) to classify sentiment quickly and accurately. A simple web dashboard lets teams track real time and historical trends and respond faster to user concerns.
Advisor
Khaled Slhoub
Publication Date
4-25-2025
Recommended Citation
Thompson, Evan; Couturier, Daniel; and Quarra, Artur, "Sentiment Analysis for Software Feedback" (2025). Electrical Engineering and Computer Science Student Publications. 64.
https://repository.fit.edu/ces_student/64