Awesome
LOC Challenge AI
a Machine Learning Law Match Maker
This application takes any text input and returns the most similar congressional bills using the machine learning WMD Similarity Model and Google's 2013 pretrained word embeddings
Application Installation
⏵ pip3 install --user --upgrade flask
⏵ git clone git@github.com:whs2k/GPO-AI.git
Running
⏵ cd loc_challenge_aim
⏵ env FLASK_APP=challenge.py flask run
Or shortcut:
⏵ make run
Recreate This Work:
- Scrape GPO data (notebooks/1.0-whs-xmlExtract.ipynb)
- Save Data as CSV (data/1.3-billTitleSponsors.csv)
- Build and Train WMD Model (notebooks/1.0-whs-xmlExtract.ipynb)
- Save Model and Similarity Instance; three files (model/-gitignored-)
- Install and Run Application