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首页> 外文期刊>Journal of computational and theoretical nanoscience >Development and Research of Means for the Collection and Reporting of Open-Source Information for Use in Decision-Making Systems
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Development and Research of Means for the Collection and Reporting of Open-Source Information for Use in Decision-Making Systems

机译:在决策系统中使用和报告开放源信息的开发和研究

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摘要

The article deals with the issue of preparation and research of unstructured data obtained from social networks using Big Data technology, the term of which is understood as any data sets large enough and complex to be processed by traditional means of working with data. The analysisof data collection systems and services, including social networks, offering a wide range of opportunities. Among them there are quite large systems, as well as projects that help to legally collect information. Experimentally obtained code in Python to collect information from the open socialnetwork Vkontakte optimal functionality for the effective solution of specific tasks. The description of the web-interface of the software system is presented. The purpose and functionality of the developed system with details on the tabs of the program are described in detail. It should benoted that the information collected is to some extent able to characterize any registered user of the social network. After reviewing his favorite records and groups in which the user is, you can talk about his interests. In the framework of the study, the design of means of collection andpresentation of unstructured information obtained from open social networks to solve the problem of building a social profile of a person. In conclusion, it is concluded that the information collected in one way or another is able to characterize the user of the social network.
机译:本文涉及使用大数据技术从社交网络获得的非结构化数据的编制和研究的问题,其中符合任何数据集足够大,复杂地通过传统使用数据来处理。数据收集系统和服务的分析,包括社交网络,提供广泛的机会。其中包括相当大的系统,以及有助于合法地收集信息的项目。通过实验获得Python的代码,从开放的SocialNetwork VKontakte最佳功能中收集信息,以获得特定任务的有效解决方案。提出了软件系统的Web接口的描述。详细描述了开发系统的开发系统的目的和功能,详细描述了程序标签的详细信息。它应该介绍收集的信息在一定程度上能够对社交网络的任何注册用户进行表征。在审查他最喜欢的记录和用户的群体后,您可以谈论他的兴趣。在研究的框架中,从开放社交网络获得的非结构化信息的集合和商誉设计,以解决构建一个人的社交形象的问题。总之,它得出结论,以一种方式收集的信息能够表征社交网络的用户。

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