Accuracy Improvement in Financial Sanction Screening - Is Natural Language Processing the Solution?

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Keywords	Natural Language Processing, Sanction screening program, Text similarity, Banking compliance, Fuzzy matching, Python, Accuracy Improvement
Thesis Advisor	Yang, Sheng Yun (Annie), Karanovic, Jovana
Persistent URL	hdl.handle.net/2105/63589
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Kim, Seihee. (2022). Accuracy Improvement in Financial Sanction Screening - Is Natural Language Processing the Solution?. In Business Information Management.http://hdl.handle.net/2105/63589

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