An intelligent pattern-matching tool for analyzing publicly available Congressional financial disclosure documents using AI-powered optical character recognition.
-
Updated
May 16, 2026 - Python
#
congressional-data
Here are 5 public repositories matching this topic...
The scripts that were used for the "What’s in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches" paper published in 2019 International Joint Conference on Neural Networks (IJCNN)
-
Updated
Apr 29, 2022 - Python
Pipeline rebuild of MSc thesis on interest group prominence in U.S. congressional speech. Improved classifier (F1=0.91, kappa=0.82), multilevel models, interactive dashboard.
python nlp natural-language-processing text-classification political-science logistic-regression multilevel-models streamlit congressional-data interest-groups-research
-
Updated
Mar 9, 2026 - Jupyter Notebook
Webscraping for congressional records on Hong Kong
-
Updated
Apr 9, 2025 - Jupyter Notebook
LegiScan APIs.json profile
government civic-tech bills apis-json congressional-data voting-records legislative-tracking naftiko state-legislation
-
Updated
Jun 20, 2026
Improve this page
Add a description, image, and links to the congressional-data topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the congressional-data topic, visit your repo's landing page and select "manage topics."