Shipment Supplier Inference Using Topic Modeling

Abstract

This research applies Latent Dirichlet Allocation on United States Automated Manifest System Bill of Lading data. We define a "bag of word" where each Harmonized tariff code represents a document, each shipper name be a token and count of shipments to be element of matrix. The result shows that topic model is able to classify some shippers of the same industries.