Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale
Dataset of about 140,000 Tweets and 100 Research Questions
- URL: http://arxiv.org/abs/2111.04476v4
- Date: Wed, 20 Jul 2022 16:52:35 GMT
- Title: Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale
Dataset of about 140,000 Tweets and 100 Research Questions
- Authors: Nirmalya Thakur
- Abstract summary: The exoskeleton market is projected to increase by multiple times of its current value within the next two years.
It is crucial to study the degree and trends of user interest, views, opinions, perspectives, attitudes, acceptance, feedback, engagement, buying behavior, and satisfaction.
This work presents an open-access dataset of about 140,000 tweets about exoskeletons that were posted in a 5-year period from May 21, 2017, to May 21, 2022.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The 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 of 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 May 21, 2017, to May 21, 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.
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