Goal of the project
- Explore methodologies to promote issue-based voting over personality politics through a tool that summarizes candidates' platforms, support networks, and advocacies.
- To campaign for a data-driven and evidence-based election.
Local Chapter project
Understanding Candidate Network and Personal Through Computational Politics
- NLP
- Neural Networks
- Data Visualization
- EDA
- Unsupervised Learning
- Data Science
- Web scraping
- Twitter Scraping
- Research
- Pattern Recognition
- Web application
- Start date
- October 9, 2021
- Finish date
- November 9, 2021
- Project status
- completed
Get involved
What to expect from a Local Chapter project
First project
- Welcomes beginners and experienced practitioners.
- Focuses on education and collaborative delivery.
- Produces open-source project work.
Benefits
- Address a significant real-world problem with your skills.
- Build your project portfolio.
- Demonstrate your work to organizations and project partners.
Requirements
- Working English communication.
- A learning mindset.
- Commitment to collaborative project work.
This challenge is hosted by
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