Search Query Analysis & Topic Modeling
Analyzed website search queries, identified key topics, and extracted entities to improve user understanding and site performance.
Analyzed website search queries, identified key topics, and extracted entities to improve user understanding and site performance.
Identified anomalies in kiosk performance using time series analysis, seasonal decomposition, and Isolation Forest, visualized with interactive charts.
This project uses Python, pandas and OpenAI to analyze user feedback from Excel files, classify the feedback into relevant topics, and determine the sentiment of the responses.