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 Style AAA Style APA 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, July 12). Accuracy Improvement in Financial Sanction Screening - Is Natural Language Processing the Solution?. Business Information Management. Retrieved from http://hdl.handle.net/2105/63589

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