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Feed Visualizer creates interactive visualizations by clustering RSS/Atom feed items based on semantic similarity. Feed Visualizer also attempts to automatically predict the labels for each cluster. This application will create a "semantic summary" of a website's contents by scanning its RSS/Atom feed, allowing for easy discovery and navigation to topics of interest. Feed Visualizer creates interactive visualizations in the form of static HTML and JS files, which may be edited and sent to a server.

License: Apache License 2.0

HTML 56.53% Python 43.47%
artificial-intelligence data-science data-visualization machine-learning no-code python semantic-similarity visualization atom rss

feed-visualizer's Introduction

Hi there 👋, this is Ashish (he/him/his) !

I am a software architect with 20 years of experience in design and development of solutions for multiple domains. Hands-on with machine learning, Google Cloud and full stack web development. Avid learner, blogger and experimenter of new technologies.

Check out my

You can reach me on 👨‍💼 LinkedIn and 🗨️Twitter. Below you can find some of my recent open source project. If you like them please consider giving a ⭐, it will motivate me to keep working on these projects.

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