A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
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May 11, 2020 - Jupyter Notebook
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
Turn “keep me updated” into long-running topic tracking and daily briefings for AI agents.
Codes and details related to the paper : Differential Tracking Across Topical Webpages of Indian News Media
📡 Build a robust streaming data pipeline using Docker, Kafka, Spark, and Cassandra for real-time ingestion, processing, and analytics.
Add a description, image, and links to the topic-tracking topic page so that developers can more easily learn about it.
To associate your repository with the topic-tracking topic, visit your repo's landing page and select "manage topics."