Sentiment

Academic Year: 2025 | Program: INFO

Sentiment

Social media has created challenges for banks who are addressing reputational risks. To address these concerns, banks require more advanced tools and techniques. We built a solution using AI/LLM to conduct real-time sentiment analysis for financial institutions. This solution provides a real-time data analysis and visualization dashboard that allows the organization to understand and respond to the problems and outages that they are facing. This project reduces management costs while increasing the speed and accuracy of incident responses by automatically generating a suggested mitigation plan, allowing for stronger coverage of reputational risk.

View Project Document (pdf)

Project sponsored by: Microsoft
Project Team

Non Pronanun
Marie Kang
Cody Tan
Kush Goel

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