English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The exoskeleton technology has been rapidly advancing in the recent past dueto its multitude of applications and diverse use-cases in assisted living,military, healthcare, firefighting, and industry 4.0. The exoskeleton market isprojected to increase by multiple times of its current value within the nexttwo years. Therefore, it is crucial to study the degree and trends of userinterest, views, opinions, perspectives, attitudes, acceptance, feedback,engagement, buying behavior, and satisfaction, towards exoskeletons, for whichthe availability of Big Data of conversations about exoskeletons is necessary.The Internet of Everything style of today's living, characterized by peoplespending more time on the internet than ever before, with a specific focus onsocial media platforms, holds the potential for the development of such adataset by the mining of relevant social media conversations. Twitter, one suchsocial media platform, is highly popular amongst all age groups, where thetopics found in the conversation paradigms include emerging technologies suchas exoskeletons. To address this research challenge, this work makes twoscientific contributions to this field. First, it presents an open-accessdataset of about 140,000 tweets about exoskeletons that were posted in a 5-yearperiod from May 21, 2017, to May 21, 2022. Second, based on a comprehensivereview of the recent works in the fields of Big Data, Natural LanguageProcessing, Information Retrieval, Data Mining, Pattern Recognition, andArtificial Intelligence that may be applied to relevant Twitter data foradvancing research, innovation, and discovery in the field of exoskeletonresearch, a total of 100 Research Questions are presented for researchers tostudy, analyze, evaluate, ideate, and investigate based on this dataset.

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