databricks-industry-solutions/merchant-classification
This series of notebooks shows how the Lakehouse for Financial Services enables banks, open banking aggregators and payment processors to address the challenge of merchant classification
This helps banks, open banking aggregators, and payment processors accurately categorize billions of daily card transactions. It takes raw, often unclear, merchant transaction data and transforms it into clear, standardized merchant and brand information. The result helps financial institutions better understand customer spending, personalize mobile banking experiences, and identify cross-sell opportunities, ultimately reducing fraud.
No commits in the last 6 months.
Use this if your financial institution struggles to get clear, consistent merchant and brand names from raw transaction data, hindering your ability to analyze customer spending behavior or prevent fraud.
Not ideal if you are looking for a general-purpose text classification tool outside of financial transaction data.
Stars
7
Forks
7
Language
Python
License
—
Category
Last pushed
Mar 09, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/databricks-industry-solutions/merchant-classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
silantyev/Complaint-Detector
The Python package that allows to identify a complaint in short texts (e.g. tweets).
shivangi-2086/plight-discover-and-solve-real-problems
Plight – an AI-powered Innovation Suggestion Engine, a platform that helps students,...
vic37get/nhtsa-complaint-classifier
Pipeline completa para classificação de reclamações veiculares da NHTSA 🔧🚗
nlbse2023/issue-report-classification
NLBSE'23 Tool Competition on Issue Report Classification
bhavyabhagerathi/Automatic-Ticket-Classification-tool
This project achieves a robust solution where users can engage with a knowledgeable chatbot and...