• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Iberian Conference on Information Systems and Technologies >Research trends in CISTI's unveiled through text mining
【24h】

Research trends in CISTI's unveiled through text mining

机译：通过文本挖掘揭示了CISTI的研究趋势

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

摘要

CISTI (Iberian Conference on Information Systems and Technologies) is a technical and scientific annual event dating back to 2006, whose purpose is to present and discuss knowledge, new perspectives, experiences and innovations in the Information Systems and Technologies domain (IST). The dynamics associated with IST together with the growing interest of the global community in CISTI have resulted in many topics and articles published in each conference, justifying a comprehensive analysis of the literature published. In this study, we present such analysis encompassing the last four editions, between 2013 and 2016, and a total of 677 articles. To accomplish such challenge more efficiently, we adopted text mining. We assessed through topic modeling how the unveiled research trends are aligned with the main conference themes. Data-driven empirical research has proven it is still a hot subject for researchers. Likewise, education and learning are also playing a significant role in CISTI's contributions. Notwithstanding, Internet and social media are highly relevant topics for the conference, although not figuring as major themes. On the other side, health is receiving less attention. Thus, this study can lead to recommendations for future CISTI's themes, in addition to providing an overview of current research trends.
机译：CISTI（伊比利亚信息系统和技术会议）是一项始于2006年的技术和科学年度活动，其目的是介绍和讨论信息系统和技术领域（IST）的知识，新观点，经验和创新。与IST相关的动态以及全球社会对CISTI的日益增长的兴趣导致在每个会议上发表了许多主题和文章，从而有理由对所发表的文献进行全面的分析。在本研究中，我们提出了此类分析，涵盖了2013年至2016年之间的最后四个版本，共677篇文章。为了更有效地完成此类挑战，我们采用了文本挖掘。我们通过主题建模评估了揭露的研究趋势如何与主要会议主题保持一致。数据驱动的实证研究证明，它仍然是研究人员的热门话题。同样，教育和学习在CISTI的贡献中也起着重要作用。尽管如此，互联网和社交媒体仍是会议的高度相关主题，尽管并没有成为主要主题。另一方面，健康受到的关注较少。因此，除了提供当前研究趋势的概述之外，这项研究还可以为未来的CISTI主题提供建议。

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