• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Business information systems international workshops >Social Media Analytics Using Business Intelligence and Social Media Tools - Differences and Implications
【24h】

Social Media Analytics Using Business Intelligence and Social Media Tools - Differences and Implications

机译：使用商业智能和社交媒体工具进行社交媒体分析-差异和启示

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The increasing amount of content created in Social Media platforms is calling for sophisticated filters that separate relevant from non-relevant content. Social Media Analytics (SMA) is a field that addresses this challenge by the development of strategies, methods and technologies to automate this filtering process. This work in progress paper presents an experiment, which examined two Social Media (SM) applications as well as two Business Intelligence (BI) applications for the analysis of tweets. The overall goal is to identify differences of these tool categories with regard to the analytics process itself as well as the obtained results. Using the scenario of a fitness tracking application for smartphones, data from Twitter was collected and analyzed with applications of both categories. The findings show (1) differences between BI and SM application, (2) challenges resulting from the different analytics processes, and (3) hints for decision makers as well as data analysts when to use which category for analyzing social content.
机译：在社交媒体平台中创建的越来越多的内容要求使用复杂的过滤器，以将相关内容与不相关内容区分开。社交媒体分析（SMA）是通过开发使该过滤过程自动化的策略，方法和技术来应对这一挑战的领域。这份进行中的工作论文提出了一个实验，该实验检查了两个用于分析推文的社交媒体（SM）应用程序和两个商业智能（BI）应用程序。总体目标是确定这些工具类别在分析过程本身以及获得的结果方面的差异。使用针对智能手机的健身追踪应用程序的场景，收集了来自Twitter的数据，并使用这两种类别的应用程序进行了分析。调查结果表明：（1）BI和SM应用程序之间的差异;（2）不同分析过程带来的挑战;（3）决策者以及数据分析人员何时使用哪种类别来分析社交内容的提示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号