As someone who loves following the financial markets, I explored how Large Language Models (LLMs) could be used to analyze user reviews and evaluate sentiment for brokerage apps.

I outlined an architectural diagram to showcase practical applications of LLMs in evaluating Ease-of-Use sentiment found in mock-up Google Play Store reviews of popular brokerage apps (e.g., Robinhood, E*Trade, and IBKR Mobile)

I created data-visualizations showcasing how review sentiment can be analyzed efficiently using Frequency, Recency, and the Sentiment-Ratings Relationship to detect trends in the most frequent praise or criticism of the app’s UI/UX.

For a further breakdown of my thoughts on how LLMs can be applied to sentiment analysis, please access the Architectural Diagram and Written Report!