Applying deep learning for HSCode classification

Hai Tran

Ho Chi Minh City of Education (HCMUE), and
NTT Institute of International Education (NIIE), Vietnam

AI4SE is a research group that includes individuals from Ho Chi Minh city of Education, NTT Institute of International Education, and information technology industry specialists. We aim to apply artificial intelligence research for real-world application problems. Applying deep learning for Harmonized System Codes (HSCode) classification is one of our IT industry projects. In the field of import and export, finding the HSCode of a product is critical for customs clearance and tax calculation. Instead of relying on customs declaration professionals, this research aims to automate product HSCode classification based on good description. The proposed solution uses deep learning and Natural Language Processing (NLP) techniques to solve this industry problem.

Hai Tran

Ho Chi Minh City University of Education, Ho Chi Minh City, Vietnam

NTT Institute of International Education (NIIE), Vietnam

Research Interest: Computer vision and apply AI in IT industry projects

As a lecturer, I got experience in sharing knowledge, researching the new technology and contributing to the community with more than 20 publication (https://scholar.google.com/citations?user=kHZvlTkAAAAJ&hl=en&oi=ao). As an IT Consultant in integrating AI features to software development process based on Agile-Scrum with TFS/JIRA, I got experience in large and sophisticated systems like social network analytics, B2B system, healthcare system and Enterprise Resource Planning (ERP) system, and smart home security system.

Organization