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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Updated
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)
Codes and details related to the paper : Differential Tracking Across Topical Webpages of Indian News Media
# 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»
This repository hosts a web application that analyzes tweets to recommend movies and songs based on public sentiment. Users can easily access real-time insights without scrolling through endless Twitter feeds. ππ
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