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Abstract <p>The development of an artificial intelligence-based language model for classifying English-language scientific articles by SRSTI codes is described. This improves the processes of reviewing and indexing scientific publications. A pre-processed dataset of scientific articles was used for training and testing the models. An architecture for cascade classification was developed, and the performance of models with various parameters was evaluated. As a result of this research, a console application for automatic classification of large flows of scientific articles was created.</p>

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Development of a Language Model for Automated Classification of English-Language Scientific Articles by SRSTI Codes

  • 期刊论文

  • 发表日期：

    2025年10月1日

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  • V. V. Zunin,
  • A. I. Afonin,
  • V. I. Anoshin,
  • O. V. Fedorets,
  • A. Y. Romanov

摘要

Abstract

The development of an artificial intelligence-based language model for classifying English-language scientific articles by SRSTI codes is described. This improves the processes of reviewing and indexing scientific publications. A pre-processed dataset of scientific articles was used for training and testing the models. An architecture for cascade classification was developed, and the performance of models with various parameters was evaluated. As a result of this research, a console application for automatic classification of large flows of scientific articles was created.