hossshakiba/TweetFeel

A project for sentiment and data analysis on tweets related to Covid-19.

12
/ 100
Experimental

This project helps public health officials, policy makers, or researchers understand public opinion and emotional responses to COVID-19 by analyzing social media conversations. It takes raw tweets related to the pandemic and categorizes them as positive, neutral, or negative. The output provides insights into overall sentiment, common themes, frequently discussed countries, and influential accounts.

No commits in the last 6 months.

Use this if you need to quickly gauge public sentiment about a health crisis or specific event by analyzing large volumes of social media data.

Not ideal if you need real-time sentiment analysis for breaking news or if your target social media platform is not Twitter.

public-health social-media-analysis crisis-communication policy-research sentiment-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

8

Forks

Language

Jupyter Notebook

License

Last pushed

Feb 15, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/hossshakiba/TweetFeel"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.