Automatic Annotation of HTML Documents Using the Microdata Standard

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
T. F. Ibragimov, A. A. Ferenets
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引用次数: 0

Abstract

The development of an application that is based on machine learning methods for automatic annotation of web pages according to the Microdata standard is described, with the possibility of an extension to other standards and injecting data to JSX files. Datasets were collected and prepared for training machine learning (ML) models. The ML model metrics were collected and analyzed.

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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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