Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

twitter dashboard

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315 Stars

127 Forks

315 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$34.4K

Market Value

$75.9K

How is this calculated?

Growth over time

9 data points · 2021-07-01 → 2026-04-01

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What is the Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition GitHub project? Description: "A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition

Clone via HTTPS

git clone https://github.com/Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition.git

Clone via SSH

[email protected]:Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition.git

Download ZIP

Download master.zip

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