Chi-Hung Chen
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.
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