Challenge

Classify business transactions that are done by humans based on a free text description. The challenge is to replace the mentioned manual process by an engine that can classify transactions given the free form text.

Approach

Apply natural language processing and supervised machine learning techniques to automatically classify transactions with the use of historical data. The data source is unstructured (free form text).

Industry

  • Transportation

Tools Used

  •  Data Science Experience (DSX)

Data Science Techniques

  • NLP, supervised ML (logistic regression and naïve Bayes), visualizations

Benefits:

  • Reducing time by automating a process that is currently done by a human.

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