The exoskeleton technology has been rapidly advancing in the recent past due to its multitude of applications in different fields. With the projected increase in the diverse uses of exoskeletons in the next few years in these application domains and beyond, it is crucial to study, interpret, and analyze user perspectives, opinions, and feedback related to exoskeletons, for which a comprehensive dataset of communications related to exoskeletons is necessary. The Internet of Everything style of today's living, characterized by people spending more time on the Internet than ever before, holds the potential for developing such a dataset by the mining of relevant web behavior data from social media communications, which have increased exponentially in the last few years. Twitter, one such social media platform, is highly popular amongst all age groups, who communicate on diverse topics via tweets while sharing their views, opinions, perspectives, and feedback towards the same. To address this research challenge, this paper makes multiple scientific contributions to this field. First, it presents a novel approach of mining tweets that is not bound by any restrictions on the number of days during which the tweets can be mined. Second, by using this approach, it presents an open-access dataset of approximately 20,000 tweets related to exoskeletons, that were posted over a period of 231 days. Finally, based on a review of 108 emerging works in this field, the paper discusses multiple interdisciplinary applications of this dataset and presents 100 research questions for researchers to study, analyze, and investigate.
翻译:最近,Exoskeleton技术由于其在不同领域的多种应用,在近期里由于在不同的领域应用了多种应用,其外科知识技术一直在迅速发展。随着未来几年中在这些应用领域及其他领域的Exoskeletons的多种用途预计将增加,研究、解释和分析与Exoskeletons有关的用户观点、意见和反馈至关重要,为此,有必要对与Exoskeletons有关的用户观点、观点和反馈进行研究、解释和分析。今天生活的“一切”式的互联网具有多种科学问题。首先,人们在互联网上花费比以往任何时候更多的时间进行分析,从而有可能通过挖掘社会媒体通信中的相关网络行为数据来开发出这样的数据集。Twitter是一个这样的社交媒体平台,在所有年龄组中非常受欢迎,他们通过推特传播不同主题,同时分享其观点、观点、观点和反馈。为了应对这一研究挑战,本文为这个领域提出了多种科学问题。首先,它提出了一种新兴的采矿推特方法,不受对在过去几年里可以进行实地应用的相关时间的限制。第二,使用这种方式是大约20 000次的数据检索。最后,通过这种方式,在100次的Rial网站上展示了这一日期上的数据检索。