Social Climate Analysis based on Open Data

O. Golovnin, Irina Y. Dubinina, A. Ivaschenko, A. Krivosheev, P. Sitnikov
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Abstract

The paper proposes an approach to identifying problematic issues according to open sources for socially oriented topics. The approach involves the use of texts and metadata of publications in open thematic groups and on public pages of users in social media. A multi-stage processing of publications is performed: data collection, spam removal, filtering by problem area, sentiment analysis, classification by topic, and clustering. The software implementation of the proposed approach is based on the Integrated Monitoring Digital Platform. Experimental testing was carried out on the data of the VK social media. The application of the approach makes it possible to identify acute social problematic issues of the administrative region in the operational mode.
基于开放数据的社会气候分析
本文提出了一种根据面向社会的主题的开放资源来识别问题问题的方法。该方法涉及在开放专题小组和社交媒体用户的公共页面上使用出版物的文本和元数据。对出版物执行多阶段处理:数据收集、垃圾邮件删除、按问题区域过滤、情感分析、按主题分类和聚类。该方法的软件实现基于集成监测数字平台。对VK社交媒体的数据进行实验测试。该方法的应用使在业务模式中发现行政区域的尖锐社会问题成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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