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What is SVM for Government Purchase Classification about?

This paper discusses the use of a support vector machine (SVM) classifier to reduce misclassification of goods purchased by the Brazilian government, which complicates auditing of expenditures. The classifier, trained on 20 million product descriptions, achieved an accuracy of 83.3% in suggesting the correct category codes, and a web app was developed to assist users in selecting appropriate classifications. The code for the classifier and app has been open-sourced for public use and modification.

Author

Arthur Nunes Torres

Language

EN