Party Matters: Enhancing Legislative Embeddings
A method for improving legislative vote prediction across sessions by augmenting bill text embeddings with sponsor …
Text-Classification
Sarcasm Detection with Transformers: A Cautionary Tale
Learn how dataset bias can lead to misleading results in NLP: a sarcasm detection model that actually learned to …
Classifying Congressional Bills with Machine Learning
Testing ML classification of congressional bills by policy area. Comparing Naive Bayes, Logistic Regression, and XGBoost …
Congressional Knowledge Graph & Policy Classification
A 47,000+ bill knowledge graph from Congress.gov with sponsor networks and 87% policy classification accuracy.
Count Vectorization with scikit-learn in Python
Learn count vectorization in Python: convert text to numerical vectors using scikit-learn's CountVectorizer with …