Support of Informal Carers for People After a Stroke with Crowdsourcing and Natural Language Processing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15410%2F22%3A73613007" target="_blank" >RIV/61989592:15410/22:73613007 - isvavai.cz</a>

Result on the web

<a href="http://www.aei.tuke.sk/papers/2021/3/01_Saloun.pdf" target="_blank" >http://www.aei.tuke.sk/papers/2021/3/01_Saloun.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15546/aeei-2021-0013" target="_blank" >10.15546/aeei-2021-0013</a>

Result language

angličtina

Original language name

Support of Informal Carers for People After a Stroke with Crowdsourcing and Natural Language Processing

Original language description

For a long time, both professionals and the lay public showed little interest in informal carers. Yet these people deals with multiple andcommon issues in their everyday lives. As the population is aging we can observe a change of this attitude. And thanks to the advances incomputer science, we can offer them some effective assistance and support by providing necessary information and connecting them withboth professional and lay public community.In this work we describe a project called “Research and development of support networks and information systems for informal carersfor persons after stroke” producing an information system visible to public as a web portal. It does not provide just simple a set ofinformation but using means of artificial intelligence, text document classification and crowdsourcing further improving its accuracy, it alsoprovides means of effective visualization and navigation over the content made by most by the community itself and personalized on a levelof informal carer’s phase of the care-taking timeline.In can be beneficial for informal carers as it allows to find a content specific to their current situation. This work describes our approachto classification of text documents and its improvement through crowdsourcing. Its goal is to test text documents classifier based ondocuments similarity measured by N-grams method and to design evaluation and crowdsourcing-based classification improvementmechanism. Interface for crowdsourcing was created using CMS WordPress. In addition to data collection, the purpose of interface is toevaluate classification accuracy, which leads to extension of classifier test data set, thus the classification is more successful.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Acta Electrotechnica et Informatica

ISSN

1335-8243

e-ISSN

1335-8243

Volume of the periodical

Vol. 21

Issue of the periodical within the volume

No. 3,2021

Country of publishing house

SK - SLOVAKIA

Number of pages

8

Pages from-to

3-10

UT code for WoS article

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EID of the result in the Scopus database

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