Deep Learning for Customs Classification of Goods Based on Their Textual Descriptions Analysis

Abstract

The article is devoted to the customs classification of goods based on their textual descriptions. In our work we propose different machine and deep learning models for solving this task using two variants of datasets: with or without duplicates. Finally we discuss and compare the obtained results