Inspiration
There are more than 1000 of Feeds and millions of articles published every day and it is very hard to keep updated with news which inspired to build this Interactive system that categorizes articles into specific categories and drill down and get Information
What it does
It extracts the data from multiple Feeds and categorizes text into various categories using Machine Learning, performs topic modelling and NLP to get insights from text data .
How we built it
Extract Structured data from RSS Feeds. Apply Machine Learning to categorize documents Perform Topic Modeling on documents Search based on Natural Query
Challenges we ran into
Issues Installing Transformers packages
Accomplishments that we're proud of
Interactive Drill Downs from Sunburst Chart Interactive Drill Downs from Data Table Rendering NLP Graphs like Named Entity and pyLDAViz on Dashboard
What we learned
AWS Graviton Interactive Drill Downs in Plotly Dash Exploration on RSS Feeds and how it works internally
What's next for Interactive Feeds Analyzer
Build a Real Time System that can handle all the sources
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