Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions

Please cite the following paper when using this dataset:N. Thakur, "Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions", Journal of Analytics, Volume 1, Issue 2, 2022, pp. 72-97, DOI: https://doi.org/10.3390/analytics1020007AbstractThe exoskeleton technology has been rapidly advancing in the recent past due to its multitude of applications and diverse use cases in assisted living, military, healthcare, firefighting, and industry 4.0. The exoskeleton market is projected to increase by multiple times its current value within the next two years. Therefore, it is crucial to study the degree and trends of user interest, views, opinions, perspectives, attitudes, acceptance, feedback, engagement, buying behavior, and satisfaction, towards exoskeletons, for which the availability of Big Data of conversations about exoskeletons is necessary. The Internet of Everything style of today’s living, characterized by people spending more time on the internet than ever before, with a specific focus on social media platforms, holds the potential for the development of such a dataset by the mining of relevant social media conversations. Twitter, one such social media platform, is highly popular amongst all age groups, where the topics found in the conversation paradigms include emerging technologies such as exoskeletons. To address this research challenge, this work makes two scientific contributions to this field. First, it presents an open-access dataset of about 140,000 Tweets about exoskeletons that were posted in a 5-year period from 21 May 2017 to 21 May 2022. Second, based on a comprehensive review of the recent works in the fields of Big Data, Natural Language Processing, Information Retrieval, Data Mining, Pattern Recognition, and Artificial Intelligence that may be applied to relevant Twitter data for advancing research, innovation, and discovery in the field of exoskeleton research, a total of 100 Research Questions are presented for researchers to study, analyze, evaluate, ideate, and investigate based on this dataset.

在使用本数据集时，请引用以下论文：N. Thakur, 《Twitter 大数据作为外骨骼研究资源的应用：2017-2022年间约14万条推文的大规模数据集及其100个研究问题》，发表于《分析学》杂志，第1卷，第2期，2022年，第72-97页，DOI：https://doi.org/10.3390/analytics1020007
摘要：近年来，由于外骨骼技术在辅助生活、军事、医疗保健、消防和工业4.0等领域的广泛应用和多样化的应用场景，外骨骼技术得到了快速发展。预计在未来两年内，外骨骼市场规模将增长数倍。因此，研究用户对外骨骼的兴趣、观点、意见、视角、态度、接受度、反馈、参与度、购买行为和满意度的程度和趋势至关重要，而这需要大量关于外骨骼的对话大数据。当今的“万物互联”生活方式，以人们比以往任何时候都更多时间花费在互联网上为特征，特别是对社交媒体平台的高度关注，为通过挖掘相关的社交媒体对话来开发此类数据集提供了潜力。Twitter作为这样的社交媒体平台，在所有年龄段的人群中都极为流行，其中对话范式中的主题包括外骨骼等新兴技术。为应对这一研究挑战，本研究对该领域做出了两项科学贡献。首先，它提供了一个关于外骨骼的约14万条推文的开源数据集，这些推文是在2017年5月21日至2022年5月21日这5年期间发布的。其次，基于对大数据、自然语言处理、信息检索、数据挖掘、模式识别和人工智能等领域近期研究成果的全面审查，这些成果可能应用于相关的Twitter数据，以推动外骨骼研究领域的创新和发现，本研究提出了总共100个研究问题，供研究人员基于此数据集进行研究、分析、评估、构思和调查。