A Spatial Model for Legislative Roll Call Analysis
Introduces NOMINATE, a probabilistic spatial model estimating legislator ideal points from roll call data via maximum …
Computational Social Science
Party Matters: Enhancing Legislative Embeddings
A method for improving legislative vote prediction across sessions by augmenting bill text embeddings with sponsor …
Tea Party in the House
A hierarchical probabilistic model combining roll call votes, bill text, and legislative speeches to analyze political …
Classifying Congressional Bills with Machine Learning
Testing ML classification of congressional bills by policy area. Comparing Naive Bayes, Logistic Regression, and XGBoost …
How Does Congress Actually Work? Data from 15K Bills
What happens to bills in Congress? Analyzing 15K+ bills from the 117th Congress to understand legislative patterns, …
Congressional Knowledge Graph & Policy Classification
A 47,000+ bill knowledge graph from Congress.gov with sponsor networks and 87% policy classification accuracy.
Look, Don't Tweet: Unified Data Models for Social NLP
PyConversations library and unified data schema for normalizing 300M+ posts across Twitter, Reddit, Facebook, and 4chan.
PyConversations: Social Media Conversational Analysis
Undergraduate thesis exploring representation learning for social media text and developing tools for cross-platform …
NewsTweet Dataset: Social Media in Digital Journalism
NewsTweet dataset for studying embedded tweets in online journalism. Analysis shows 13% of Google News stories contain …
Coordinated Social Targeting on Twitter
Investigation into follower dynamics on high-profile Twitter accounts, documenting sub-second spikes, saw-tooth …