基于心理语义和机器学习方法复合体的概念系统剖析

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2023-10-12 DOI:10.3103/S0005105523040027

K. I. Belousov, R. K. Bashirov, N. L. Zelianskaia, I. A. Labutin, K. V. Ryabinin, R. V. Chumakov

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引用次数: 0

摘要

提出了一种新的分析社交网络服务用户的方法和基于该方法的推荐系统的概念。所提出的方法是基于机器学习的方法和模型与精神医学和视觉分析方法的集成，这些方法被实现为软件包，包括三个客户端-服务器系统，用于收集、处理、分析和可视化数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Profiling of Conceptual Systems Based on a Complex of Methods of Psychosemantics and Machine Learning

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Profiling of Conceptual Systems Based on a Complex of Methods of Psychosemantics and Machine Learning

A new approach to profiling users of social internet services and the concept of recommender systems based on this approach are presented. The proposed approach is based on the integration of the methods and models of machine learning with the methods of psychosemantics and visual analytics, which are implemented as software package that includes three client–server systems for collecting, processing, analyzing and visualizing data.

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

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.