Abstract

This paper presents the results of the development and testing of an automatic classification system for scientific texts that provides the functionality to determine the topic of texts by three classification schemes in batch and dialog modes. The structural and functional components, the methods used to assess the quality of classification, the teaching methodology, the selection of the optimal classification model, and the main areas for the introduction of an automatic classifier in the processing of electronic document flow at the VINITI RAS are described.

中文翻译：

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用于处理科学出版物流程的VINITI RAS自动文本分类系统

摘要

本文介绍了科学文本自动分类系统的开发和测试结果，该系统提供了通过批处理和对话模式下的三种分类方案确定文本主题的功能。结构和功能组件，用于评估分类质量的方法，教学方法，最佳分类模型的选择，以及在VINITI RAS处理电子文档流时引入自动分类器的主要领域描述。