BERT-based multi-label text classifier for SITC & EXIOBASE datasets, streamlining item description labeling
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This project provides a BERT-based multi-label text classification system designed to streamline item description labeling for SITC and EXIOBASE datasets. It features a user-friendly React.js frontend and Flask backend, enabling seamless interaction with the trained model for efficient line-item classification. The tool is ideal for researchers and analysts working with international trade and environmental data.