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BytesAgainBytesAgain
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PoliBERT Sentiment Analysis

by @erongcao

Political sentiment analysis using PoliBERTweet - a RoBERTa model pre-trained on 83M political tweets. Analyzes support, opposition, and stance toward politi...

⚑ When to Use
TriggerAction
- Analyze public sentiment toward political candidates or figures
- Track political opinion trends on social media
- Complement prediction market data with social sentiment
- Monitor political discourse around specific issues
- Aggregate opinions from Reddit political communities
βš™οΈ Configuration

# Python 3.9 or higher
python --version

Install core dependencies

pip install transformers>=4.18.0 torch>=1.10.2

Optional: Reddit data fetching

pip install praw>=7.8.1

First Run

On first execution, the model will be automatically downloaded from HuggingFace Hub (~500MB):

python polibert_sentiment.py --text "Test"

πŸ“‹ Tips & Best Practices

  • Use as one input among many, not sole prediction basis
  • Combine with prediction markets, polling data, economic indicators
  • Track sentiment trends over time, not single snapshots
  • Adjust for platform demographics (Reddit β‰  Twitter β‰  general population)
  • View on ClawHub
    TERMINAL
    clawhub install polibert-sentiment

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