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
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A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
Codes and details related to the paper : Differential Tracking Across Topical Webpages of Indian News Media
π‘ Build a robust streaming data pipeline using Docker, Kafka, Spark, and Cassandra for real-time ingestion, processing, and analytics.
# π Multilingual Sentiment Analysis Web AppThis project offers a full-stack application that analyzes sentiment in text across multiple languages using the Hugging Face Inference API. It features a responsive user interface and automatic language detection, making it a practical tool for diverse users. ππ»
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