feed-visualizer
Feed Visualizer is a tool that clusters RSS and Atom feed items based on semantic similarity and generates interactive visualizations. It scans a website's feed to create a semantic summary, automatically grouping related content and predicting labels for each cluster, which helps users discover and navigate topics of interest. The tool produces static HTML and JavaScript files that can be edited and served from any web server. It supports configurable clustering thresholds, pretrained embedding models, and t-SNE iteration settings. Users can provide historical feed data through the Wayback Machine or use their own collected RSS/Atom files. Key use cases include summarizing news sites, blogs, and other feed-based content, exploring topic distributions across time, and generating shareable visualizations. Output consists of an interactive HTML visualization page and a CSV data file, both suitable for publishing or further analysis.