Exoskeleton Twitter Dataset: A Comprehensive Dataset of Tweets Related to Exoskeletons

Any work using this dataset should cite the following paper:Nirmalya Thakur and Chia Y. Han, Exoskeleton Twitter Dataset: A Dataset of Tweets related to Exoskeletons and 100 Research Questions, Journal of Data (In Press)AbstractThe exoskeleton technology has been rapidly advancing in the recent past due to its multitude of applications and use cases in assisted living, military, healthcare, firefighting, and industries. 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, public opinion, reviews, and feedback related to exoskeletons, for which a dataset is necessary. The Internet of Everything era 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 including but not limited to news, current events, politics, emerging technologies, family, relationships, and career opportunities, via tweets, while sharing their views, opinions, perspectives, and feedback towards the same. Therefore, this work presents a dataset of approximately 20,000 tweets related to exoskeletons. that were mined for a period of 231 days, from December 1, 2020, to July 19, 2021. The tweets contain diverse forms of communications and conversations related to exoskeletons which communicate user interests, user perspectives, public opinion, reviews, feedback, suggestions, etc., related to exoskeletons.The above-mentioned paper is a Data Descriptor which provides the description of the dataset as well as the details about the methodology that was used for mining the Big Data available in this dataset. Furthermore, based on an exploratory review of 108 emerging works in this field and its interrelated disciplines, the paper also discusses multiple interdisciplinary applications of this dataset in the fields of Big Data, Natural Language Processing, Human-Computer Interaction, Human Factors, Hu-man-Centered Design, Information Retrieval, Artificial Intelligence, Pattern Recognition, and User Experience, and presents 100 research questions for researchers to study, analyze, evaluate, and investigate based on this dataset.For any questions related to the dataset or the associated paper, please contact Nirmalya Thakur at [e-mail]