Data-Science-Community-SRM/Forecasting-US-Elections

Extraction of tweets and Perform sentiment analysis on the presidential candidature of Donald Trump, Joe Biden and Kanye West in the upcoming elections in US in November, 2020.

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This project helps political strategists, campaign managers, or public opinion researchers understand public sentiment for election candidates. It takes raw Twitter data related to candidates like Donald Trump, Joe Biden, and Kanye West, cleans it, and then analyzes the sentiment of each tweet. The output provides classifications of tweets as positive, negative, or neutral, along with various visualizations showing sentiment trends over time, geographical distribution of sentiment, and tweet sources.

No commits in the last 6 months.

Use this if you need to quickly gauge public opinion and sentiment towards political figures or campaigns based on social media data.

Not ideal if you need a real-time, continuously updated sentiment analysis tool or if your focus is on predictive modeling for election outcomes with high accuracy.

election-analysis public-opinion political-campaigns social-listening sentiment-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 19 / 25

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Jupyter Notebook

License

Last pushed

Nov 04, 2020

Commits (30d)

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Data-Science-Community-SRM/Forecasting-US-Elections"

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