Inspiration
Finra is working in the financial industry. After meeting their top officials, we were motivated to help them fix a problem of finding fraudulent advisor disclosures.
What it does
Helps us to classify and summarize data
How we built it
html, css, javascript, php, python and other libraries
Challenges we ran into
very huge data. processing was difficult
Accomplishments that we're proud of
managed to control the data. use the api and make useful insights out of it
What we learned
real world problems are really huge and need a lot of patience, extensive cleaning and processing.
What's next for Court Listener Text Analyzer
finding the relation between judge opinion in the court listener data and advisor disclosure in IAPD data.
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