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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Acta Electrotechnica et Informatica

ISSN

1335-8243

e-ISSN

1335-8243

Svazek periodika

Vol. 21

Číslo periodika v rámci svazku

No. 3,2021

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

8

Strana od-do

3-10

Kód UT WoS článku

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EID výsledku v databázi Scopus

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