{"title":"Shipment Supplier Inference Using Topic Modeling","authors":"Chi-hung Chen","doi":"10.1145/3336499.3338013","DOIUrl":null,"url":null,"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.","PeriodicalId":148424,"journal":{"name":"Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3336499.3338013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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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