research data . Dataset . 2019

Past Written Texts Dataset

John Ellul; Marina Polycarpou;
Open Access
  • Published: 07 May 2019
  • Publisher: Zenodo
Abstract
<p>The dataset consists of features extracted from older adults&rsquo; text.</p> <p>The texts were written by the older person either in an electronic mean (eg. older e-mail), or in paper form and were transcribed by the project&#39;s clinical nurses.</p> <p>The texts were then translated to English using the MyMemory service (https://mymemory.translated.net/), and a series of features were generated that can be used for sentiment analysis.</p> <p>The list of fields of this dataset is presented below:</p> <p>- <strong>Part_id</strong>: The user ID, which should be a 4-digit number</p> <p>- <strong>Date</strong>: The recording date, which follows the &ldquo;DD-MM...
Subjects
free text keywords: social media sensing, sentiment analysis, text-based sentiment analysis, Biochemistry, Medicine, Genetics, Ecology, Sociology, Infectious Diseases, Virology, Information Systems not elsewhere classified, 110309 Infectious Diseases, 60506 Virology, 80699 Information Systems not elsewhere classified
Funded by
EC| FrailSafe
Project
FrailSafe
Sensing and predictive treatment of frailty and associated co-morbidities using advanced personalized patient models and advanced interventions
  • Funder: European Commission (EC)
  • Project Code: 690140
  • Funding stream: H2020 | RIA
Validated by funder
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Dataset . 2019
Provider: Datacite
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Dataset . 2019
Provider: figshare
Zenodo
Dataset . 2019
Provider: Datacite
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