APMi: Audience Persona Mining
Github: https://github.com/glombardo/APMi
HuggingFace (interact with app): https://huggingface.co/spaces/scienzasolutions/APMV3
Sample input data (upload to the app): https://huggingface.co/spaces/scienzasolutions/APMV3/blob/main/audience_dataset_mass_survey.csv
The Challenge Every Researcher Faces
If you've ever stared at a massive survey dataset with thousands of responses across hundreds of questions, you know the feeling. Somewhere in those rows and columns are distinct audience personas waiting to be discovered, but finding them feels like searching for constellations in a sky full of stars. Traditional pivot tables and basic charts only scratch the surface, while advanced statistical software often requires a PhD to operate effectively.
A New Approach to Survey Analysis
The Audience Persona Mining Tool bridges this gap by combining powerful machine learning algorithms with an intuitive interface that anyone can use. Built on modern data science principles, it transforms raw survey responses into clear, actionable audience segments without requiring users to write a single line of code.
How It Works: The Science Behind the Simplicity
At its core, the tool leverages two cutting-edge algorithms: UMAP (Uniform Manifold Approximation and Projection) for dimensionality reduction and HDBSCAN (Hierarchical Density-Based Spatial Clustering) for persona identification. What makes this combination powerful is how UMAP preserves both local and global data structures—meaning similar survey responses stay close together while maintaining the overall shape of your data landscape. HDBSCAN then identifies natural groupings without requiring you to guess how many personas exist.
From Data to Insights in Three Steps
The workflow is refreshingly straightforward. First, upload your survey data—the tool automatically detects audience columns and validates the structure. Second, explore your data through interactive sunburst charts that let you drill down through category hierarchies while monitoring index distributions in real-time. Finally, run the clustering algorithm to discover distinct personas, complete with AI-generated summaries that highlight what makes each segment unique.
Open Source and Extensible
Built with a modular architecture, the tool is open-source and designed for extensibility. Data scientists can easily add new clustering algorithms, create custom visualizations, or integrate it into existing workflows. The clean separation between data processing, visualization, and UI components means you can adapt it to your specific needs without starting from scratch.
Looking Forward
The Audience Persona Mining Tool represents a shift in how we approach survey analysis—from static reports to dynamic exploration, from guesswork to data-driven discovery. Whether you're a market researcher identifying consumer segments, an academic analyzing population studies, or a product manager understanding user needs, this tool transforms the daunting task of survey analysis into an engaging journey of discovery.
