Business Issue Allocation Classifier

A text classifier that maps a natural language business problem description to the most likely data engineering solution category.

Model Details

  • Classifier: SVM (Support Vector Machine)
  • Embedding model: sentence-transformers/all-mpnet-base-v2
  • Classes: 9 (stream_processing, etl_pipeline, data_warehouse, data_lake, api_integration, ml_feature_store, data_caching, data_governance, data_quality)
  • Accuracy: 88.2%
  • Macro F1: 88.4%

How to Use

Clone the full project from GitHub and run:

from src.inference import Predictor
predictor = Predictor()
result = predictor.predict("We need to detect fraud before transactions are approved.")
print(result["predicted_label"])

Dataset

dianamikova/business-issue-allocation

GitHub

github.com/dianamikova/business-issue-allocation

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