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Extracting User Insights – AI-Powered Feedback Analysis
Developed an AI-powered system that analyzes large volumes of user feedback to extract meaningful insights and trends. The platform processes textual data such as customer reviews, survey responses, and user comments using Natural Language Processing (NLP) techniques.
The system performs text preprocessing, sentiment analysis, and topic detection to identify common patterns, user pain points, and feature requests. The extracted insights are then presented through a structured visualization layer, enabling businesses to better understand customer needs and make data-driven product decisions.
Technologies Used: Python, NLP, Data Processing, Backend Development
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