期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2235&2236
页码：205-210
出版社：Newswood and International Association of Engineers
摘要：For organizations, social media systems (SMSs)
provide new means for communication and collaboration with
many classes of external stakeholders. As an industry based on
knowledge and design, it is not surprising that the engineering
sector has adopted SMSs of various types to improve the flow
of information, and the collaboration, between its workers, and
with its external stakeholders. Twitter (twitter.com) is one
widely-used social media tool employed by individuals and
organizations. Recent social media research has proposed
content analysis as an important element of understanding
what is being shared by participants in social media
‘conversations’. The work presented here uses publicly
available data for analysis and visualization to characterize the
engagement of a multinational engineering services company
on the Twitter SMS. Specifically, it uses text analytics and
visualization to address the proposal in the research literature
that content analysis of tweet text will be a useful approach to
characterizing the high-level online conversations taking place
on Twitter. The research presented here provides useful
insights, as well as offering a methodology for future work.
关键词：social media; engineering services; data
visualization; Twitter
